Piotr Pasza Storożenko

Innovation Lead and Senior ML Engineer at Appsilon

Currently serving as the Innovation Lead and Senior ML Engineer at Appsilon, I hold a Master's in Data Science and a Bachelor's in Applied Physics. Passionate about harnessing new technologies, I thrive on translating them into potentially impactful solutions. Occasionally, you'll find me pondering over abstract concepts, seeking ways to mold them into mathematical challenges.

Pavel Demin

Full-Stack Developer, Appsilon

Pavel Demin is a self-taught developer with background in social sciences and statistics. Before joining Appsilon as a software engineer in 2021, he used to work as a data analyst empowering the team with the in-house Shiny dashboards and interactive reports. Pavel enjoys multilingual environment with various modern technologies, delivering solutions in R, Python, Typescript and SQL. In his free time he likes to travel, write code and listen to music.

Kamil Żyła

Full Stack Engineer | Appsilon

Kamil is a Full Stack Engineer at Appsilon and the maintainer of Rhino. He learned to code at the age of 15 and used to participate in programming competitions. He earned degrees in computer science and mathematics. His professional interests include programming language theory, software development processes and working across technologies.

Vedha Viyash

R/Shiny Developer

R/Shiny developer at Appsilon who likes to create shiny apps and solve business problems using R. Passionate about learning and teaching new technical concepts related to R, Shiny, and Data Science.

Veerle Van Leemput

Trainer & Consultant | Data, software development & deployment

Veerle van Leemput is a true Shiny enthusiast with almost 8 years of experience in R and Shiny app development. Whether you’re seeking guidance, have burning Shiny-related questions, or want to level-up your Shiny skills, Veerle has you covered! With a passion for teaching others to develop awesome applications, she is dedicated to making complex concepts accessible. Serving as director and R & Shiny consultant at Hypebright, a company she founded around 5 years ago, Veerle not only offers training, workshops, and consultancy but also shares a bunch of R/Shiny tips and tricks on LinkedIn, YouTube, and her blog.

Deepansh Khurana

R/Shiny Developer | Appsilon

Deepansh is a data enthusiast proficient in both R and Python, with a penchant for exploratory analysis. He enjoys the open-ended nature of data analysis and building applications on all sorts of topics in general. He lives for the coincidental insights and "aha!" moments. When not coding or playing with numbers, he writes prose and embraces art. He also focuses heavily on self-improvement and building his habits!

Alexandros Kouretsis

R/Shiny developer | Appsilon

Alexandros Kouretsis comes from the field of Astrophysics/Cosmology, with a solid understanding of applied statistics, probability, and machine learning. As a passionate open-source developer, he is dedicated to building impactful data science applications and actively contributing to the community. Currently serving as an R/Shiny developer at Appsilon, Alexandros leverages his expertise to create interactive and visually compelling applications, while optimizing workflows and streamlining processes to ensure efficiency, reproducibility, and reliability.

Sambadi Majumder

Environmental Data Scientist

Dr. Sambadi Majumder is a seasoned Data Scientist with a rich background in ecology, agronomy, and biology, currently based in South Royalton, Vermont. With a career marked by stints at prestigious institutions and companies such as NASA, Bayer, and Becton Dickinson and Company, Sambadi is adept in applying data science to complex ecological and agricultural systems. From his doctoral research at the University of Central Florida to practical applications in the industry, Sambadi has consistently focused on the intersection of data science and environmental stewardship. His work encompasses designing robust data pipelines, implementing advanced machine learning models, and generating actionable insights for sustainable agriculture, biodiversity conservation, and climate change mitigation.

Jadey Ryan

🐱 cat-obsessed environmental data scientist 🌱

Jadey Ryan is a self-taught R enthusiast working in environmental data science for the Washington State Department of Agriculture. She is obsessed with cats, nature, R, and Quarto.

Charles Scarborough

Air Quality Data Scientist | Sonoma Technology

Charles Scarborough is an air quality data scientist at Sonoma Technology. As an air quality data scientist, he conducts analysis related to air pollution exposure, air pollution impacts, and wildland fires. He is helped to develop and is currently maintaining Shiny Dashboards for the U.S. Environmental Protection Agency (EPA) as part of a multi-year effort to provide quality assurance information to nation-wide air quality monitoring networks.

Pedro Silva

Learning & Development Lead | Appsilon

Pedro has worked as a software developer for over 15 years, focusing on R and Shiny at a enterprise level for the last 5. He has worked in many technologies over the years, and has an extensive background in backend, frontend, and developing both websites and applications. In his free time he is both an Open Source enthusiast and a practitioner of the JavaScript dark arts.

Ryszard Szymański

Staff Engineer | Appsilon

Ryszard Szymański is a Staff Engineer at Appsilon. He has a background in computer science and is the author of open source packages like hackeRnews, shiny.emptystate and featureflag. Outside of work he is interested in basketball, cooking and baking.

Umair Durrani

University of Windsor

Umair Durrani completed his PhD in Civil Engineering at University of Windsor in 2022. He also worked as a Postdoctoral Fellow at Transportation Systems Innovation Lab at University of Windsor. During his one year as a postdoc, Umair created R packages and Shiny apps for the lab.

Chris Lee

Professor | University of Windsor

Dr. Chris Lee is a Professor of Civil and Environmental Engineering at the University of Windsor, Canada. His main research interests are in traffic safety, driver behavior, and traffic operation and control. Dr. Lee has conducted research on vehicle interaction and conflicts in car-truck mixed traffic and manual-autonomous vehicle mixed traffic, car-following and lane-changing behaviour, prediction of crash frequency and injury severity, safety evaluation of countermeasures, advanced real-time speed control for freeways, driver safety in partially-automated vehicles, and aggressive driving behaviour.

Federica Gazzelloni

Independent External Expert

Passionate about data science and committed to lifelong learning, Federica is a dedicated professional with a background in Actuarial Statistics. Her expertise extends to collaborative environments, emphasizing the importance of accessible learning and effective communication. As the lead organizer of R-Ladies Rome, Federica promotes gender diversity and knowledge-sharing by hosting a variety of R-topic-based events.

Jon Harmon

Executive Director | DSLC.io

Jon is the Executive Director of the Data Science Learning Community, a diverse, friendly, and inclusive community of data science learners and practitioners. He is also an advanced R programming consultant, specializing in interactions between R and the Internet. He is originally from the state of Michigan, where he attended Michigan Technological University. He moved to Austin, Texas, for grad school at the University of Texas, and he still lives there with his spouse, two children, and two large dogs.

Michael Myer

4th year Computer Science Student

Michael is a 4th year Computer Science undergraduate at Mount Royal University. He began working on CougarStats in June of 2023 after receiving the Faculty of Science Technology Student Research Award, which was his first introduction to Shiny. Michael continues to explore innovative methods to enhance his knowledge and skills, drawing upon his academic background and enthusiasm for software development and data analysis.

John Coene

R, Go, JavaScript Consultant

Belgian, Graduated in the UK, worked as analyst in China for 5 years and currently work for the World Economic Forum in Geneva.

Tracy K. Teal

Open Source Program Director | Nixtla

Dr. Tracy K. Teal has been the Open Source Program Director at RStudio/Posit, Executive Director of Dryad, and a co-founder and Executive Director of The Carpentries. She developed open source bioinformatics software as an assistant professor at Michigan State University and holds a PhD in computation and neural systems from California Institute of Technology. Tracy is involved in the open source software and reproducible research communities, including serving on advisory committees for NumFOCUS, pyOpenSci, R Consortium, and CarbonPlan, and has been working with open source communities, developing curriculum, and teaching people how to work with data and code as a developer, instructor and project leader throughout her career.

Joe Cheng

CTO at Posit PBC

Joe Cheng is the Chief Technology Officer at Posit, and the original creator of Shiny. He joined RStudio in 2009 to help create the RStudio IDE, and also created many web-related R packages, including htmltools, httpuv, htmlwidgets, leaflet, promises, shinymeta, and bslib. He lives in the suburbs of Seattle, Washington with his wife Amy, three teenage sons, two Mazdas, and numerous bicycles.

Laura Mudge

Senior Marine Scientist | Barefoot Ocean

Laura is an interdisciplinary, quantitative scientist, specializing in marine ecology, and trained in science communication, data analysis and visualization, and collaborative research workflows. She is the lead data analyst at Barefoot Ocean facilitating data driven decision making with her expertise in trend analyses, mixed effects modeling, and coding interactive data tools using R markdown and R Shiny. Laura is motivated to make science more open and reproducible, and contribute to our society’s knowledge of coastal and marine ecology by being a link between scientific inquiry and on-the-ground management initiatives.

Lorenzo Longobardi

Consultant Data Scientist at WorldFish

I'm Lorenzo Longobardi, a data scientist with WorldFish since March 2021, where I've been committed to enhancing data analysis projects and initiatives aimed at sustainable fisheries. I earned my Ph.D. in Marine Sciences in 2020 from the Open University of London, in collaboration with Stazione Zoologica Anton Dohrn, Naples, Italy. My research focused on uncovering the biological and physicochemical dynamics of the pelagic environment through advanced statistical analysis and model development, analyzing global oceanographic time-series data. My expertise lies in data exploration, manipulation, and mining, alongside developing algorithms for automating data pipelines. Through my work, I leverage my skills in R, Shiny and Python to contribute to projects across Timor-Leste, Zanzibar, Kenya, and Mozambique, aiming to make a significant impact on marine conservation and the livelihoods of small-scale fisheries. Beyond my professional life, I'm passionate about diving, sailing, and photography—interests that keep me closely connected to the marine world I work to preserve

Gina Deom

Data Scientist | Indiana University

Gina serves as a data scientist in the Office of Institutional Analytics at Indiana University. In this role, she provides research and analysis to support campus initiatives and student success. She also explores new areas of inquiry in machine learning, statistical analysis, causal inference, and data mining to enhance institutional effectiveness and student success outcomes. She holds a Master’s degree in Applied Statistics from Bowling Green State University and a Bachelor’s Degree in Statistics and Actuarial Mathematics from Saint Mary’s College.

Stefano Fiorini

Manager of Research and Analytics | Indiana University

Stefano Fiorini Ph.D. is a Social and Cultural Anthropologist with the Bloomington Assessment and Research (BAR) at Indiana University. He has extensive applied research experience in the area institutional research and learning analytics in which participatory approaches are applied to place the stakeholders at the center of the analytic provision. He has published in peer reviewed journals and conference proceedings and presented at national and international conferences (e.g. AIR Annual Forum, CSRDE, LAK), earning best paper awards from INAIR, AIR and SoLAR.

Brenden Smith

MPH Candidate at Michigan State University

Brenden is an MPH candidate with interests in health equity, harm reduction, and community engagement. Brenden currently works as a research assistant at the Michigan State University Institute for Health Policy.

Albert Rapp

Business Analyst & Freelancer

Albert is a mathematiciann, business analyst and freelancer. He's fascinated by the blend of data analytics, web development, and visualization, and loves sharing his knowledge with everyone on LinkedIn, and YouTube.

Winston Chang

Software Engineer | Posit, PBC

Winston Chang is a software engineer at Posit. He has created a number of R packages, including R6, profvis, fastmap, webshot2, shinytest, chromote, and websocket, and has contributed to shiny, httpuv, later, ggplot2, devtools, and others. He is the author of R Graphics Cookbook, published by O’Reilly Media. In addition to his work in R, Winston also works on Shiny for Python, and created Shinylive for Python.

Trevin Flickinger

Data Analyst, Coalition on Homelessness and Housing in Ohio

Trevin Flickinger lives in Columbus, Ohio and is a data analyst at the Coalition on Homelessness and Housing in Ohio (COHHIO). He has an MS in Applied Statistics from Bowling Green State University. He uses R and Shiny to explore, analyze, and visualize data.

Ivan Millanes

Data Science Consultant | Ketchbrook Analytics

I'm a Statistician graduated from Universidad Nacional de Rosario (UNR), Argentina. I have been an R/Shiny developer for more than 5 years and during this timespan I have worked for clients from different types of industries such as healthcare, insurance, marketing , pharma and farm-credit. Currently I work for Ketchbrook Analytics as a Data Science Consultant.

Michael Thomas

Chief Data Scientist | Ketchbrook Analytics

Michael Thomas is the Chief Data Scientist at Ketchbrook Analytics, a data science consulting firm based out of Hartford, CT. He holds a B.S. in Accounting and Mathematics from Stonehill College, and an M.S. in Business Intelligence & Analytics from Saint Joseph’s University. Ketchbrook Analytics specializes in engineering data and technology solutions that provide real ROI for its clients, including predictive models, web applications, and automated data pipelines. Their equal commitment to expertise in data science, software development, and user-centered design is what sets Ketchbrook apart from others in this space. To date, their clients span across a multitude of industries, including financial services, bio-pharma, target marketing, higher education, government agencies, non-profit, and manufacturing.

Can "Ege" Taşlıçukur

R Shiny Developer | Appsilon

Can "Ege" Taşlıçukur is an R/Shiny Developer at Appsilon, previously a solo Data Scientist at a startup. At Appsilon, his work consists of developing Shiny applications that improve human lives for life sciences companies. When he's not coding, you can catch Ege strumming the strings of his guitar, exploring virtual worlds in gaming, or trekking through the great outdoors.

Andrew Vancil

Biostatistician | Cincinnati Children's Hospital Medical Center

My name is Andrew Vancil and I am a biostatistician/epidemiologist at Cincinnati Children's Hospital Medical Center where I contribute to research tackling food and health inequity, exposure assessment and development of tools for personalized care.

Tanya Cashorali

CEO & Founder | TCB Analytics

Tanya Cashorali is the founder and CEO of TCB Analytics, a boutique data and analytics consultancy. With an interest in statistics and programming, Tanya started her career in the data-rich field of bioinformatics in the early 2000s. During this period, Tanya was one of the early adopters of data science technologies and platforms, such as the R statistical programming language. The next decade of Tanya’s career included more commercial use cases for data science and analytics.In 2015, Tanya launched TCB Analytics, where she leverages that experience to help businesses across various industries tackle data challenges. As an extension of her career path, Tanya leads a world-wide community network of over 500 data scientists and data enthusiasts. She’s helped universities in Massachusetts launch data science programs, helped grow a handful of Boston-based startups, and is a frequent speaker at tech and industry conferences.

Garrick Aden-Buie

Shiny |Posit, PBC

Garrick Aden-Buie is a software engineer for Shiny at Posit. He is passionate about building broadly accessible tools for data scientists in R and Python. Before joining the Shiny team, he helped build Posit Academy, an online, immersive, data science apprenticeship for professional teams. Garrick has been using and teaching Shiny since 2014, and he shares his experience and projects on his website at https://garrickadenbuie.com or on Mastodon at https://fosstodon.org/@grrrck.

Jason Bryer

Assistant Professor, Data Science, City University of New York

Dr. Jason Bryer is currently an Assistant Professor and Associate Director in the Data Science and Information Systems department at the City University of New York. He is currently the Principal Investigator of the FIPSE ($3 million #P116F150077) and IES funded ($3.8 million R305A210269) Diagnostic Assessment and Achievement of College Skills (DAACS), which is a suite of technological and social supports designed to optimize student learning. Dr. Bryer’s other research interests include quasi-experimental designs with an emphasis on propensity score analysis, data systems to support formative assessment, and the use of open source software for conducting reproducible research. He is the author of over a dozen R packages, including three related to conducting propensity score analyses. When not crunching numbers, Jason is a wedding photographer and proud dad to three boys.

Jakub Nowicki

Staff Engineer | Lab Lead at Appsilon

Jakub is a Staff Engineer at Appsilon, where he serves as the Lab Leader. He has been working with R and Shiny for over 10 years. Jakub is one of the creators of Rhino and is responsible for Appsilon's Open Source initiatives. His background is in Paleontology; he wrote his PhD thesis on Cambrian trilobites and has authored several papers on this topic.

Barret Schloerke

Posit - Shiny Software Engineer

Dr. Barret Schloerke is a Software Engineer at Posit. He currently develops and maintains many R and Python packages in the Shiny ecosystem at Posit including shiny, reactlog, plumber, learnr, leaflet, and shinyloadtest. Dr. Schloerke received his PhD in Statistics from Purdue University under the direction of Dr. Ryan Hafen and Dr. William Cleveland, specializing in Large Data Visualization.

Karan Gathani

Software QA Engineer (Shiny) | Posit

Karan is currently a Shiny Software QA Engineer at Posit. Karan has a history of working with tech startups in the San Francisco Bay Area helping them ship products efficiently without compromising on quality. In his spare time, he likes to participate in BioBlitzes organized around the Bay Area.

Carl Ganz

Data Scientist Evolent Health

Carl is a data scientist at Evolent Health. He has been working with Shiny since 2017, and his work has been presented at the Conference for Statistical Practice, RStudioConf, SatRday, and UseR. He resides in Oakland, CA and once scored 70 points in a single move of Scrabble.

Prateek Arora

Bioinformatics Research Associate, Institute of Anatomy, University of Bern, Switzerland

I am a Research Associate in Bioinformatics, currently focused on cardiac regeneration research at the University of Bern. My expertise spans transcriptomics, epigenomics, and metabolomics, with a foundation in developing and deploying analytical pipelines. A significant part of my work involves creating and managing R Shiny apps, enhancing data visualization and accessibility for complex biological datasets. These apps, hosted on platforms like Heroku and shinyapps.io, leverage cutting-edge technologies such as single-cell RNA sequencing, demonstrating my capability in both bioinformatics analysis and software development. My academic background includes a PhD in Cellular and Molecular Biology from the Tata Institute of Fundamental Research, Mumbai, where I investigated genetic mechanisms in zebrafish, laying the groundwork for my career in bioinformatics. At Elucidata Data Consulting, I led a team in drug target discovery, applying my skills in cloud computing and pipeline development. I am excited about applying my bioinformatics and app development skills to new challenges in life science and healthcare research, aiming to make significant contributions to the field and improve outcomes.

Padmapriya Swaminathan

Avera Cancer Institute, Dept. of Cancer Genomics, Lead Clinical Bioinformatics Analyst

Padmapriya “Priya” Swaminathan is a Lead Clinical Bioinformatics Analyst with the Cancer Genomics research team led by Dr. Tobias Meissner at the Avera Cancer Institute Center for Precision Oncology. She specializes in transcriptomics and data visualization. Priya obtained her Master’s degree in Statistics with bioinformatics specialization from South Dakota State University in 2014. She worked as a bioinformatics research associate in the same university until 2019. She performed differential gene expression analysis of various datasets and helped uncover potential mechanisms associated with plant survival under extreme environments and mouse macrophage cell differentiation. In her current role, she supports development and maintenance of a web application for managing cancer clinical trials. She is also involved in setting up automated workflows for patient data analysis to find the tumor tissue of origin for cancers of unknown primary, inferring mutational signatures from whole exome of cancer patients and their associations to social determinants of health. She is interested in developing machine learning, deep learning and artificial Intelligence approaches that contribute to the development of novel precision medicine solutions.

David Blair

R/Shiny Developer | Appsilon

David Blair serves as an R/Shiny Developer at Appsilon, with prior roles as a Statistician and a Software Engineer at Unilever. His contributions at Unilever centered around the standardization of clinical data and enhancing data management through automation. He holds a degree in Mathematics, where his work emphasized the use of genetic algorithms and matrix decompositions for practical applications. Professionally, he is interested in identifying and implementing highly automated solutions to increase operational efficiency.

Douglas Mesquita

R Shiny Developer | Appsilon

Douglas Mesquita is a Statistician currently working as a Software Developer at Appsilon. During his adventures as Data Scientist, he started using Shiny to present the results of complex models and findings in a friendly way for a regular audience. In his free time, he likes to act like an average person, explore the world, and play sports. However, his scientific vein often calls him, and he eventually writes some scientific papers.

Randy Boyes

Director of Analytics at Presage Group

Epidemiologist by training, currently working to understand human decision-making at Presage Group. Lives on an island near Kingston, ON with his wife and three dogs.

Dony Unardi

Data Scientist

Dony Unardi is a Principal Data Scientist in the Product Development Data Sciences Acceleration Enabling Platform team at Roche/Genentech. In the last five years, he has supported the adoption of R and implemented R solutions within his roles. He is currently the Engineering Team Lead, leading the development effort of the teal framework. Pawel Rucki is a Principal Data Scientist and Chief Engineer at Roche Switzerland. He co-authored and now became responsible for one of the largest R-based projects within Roche Product Development and Pharma industry as a whole for clinical reporting and data analytics.

Pawel Rucki

Principal Data Scientist | Roche

Pawel graduated in 2015 from University of Warsaw, Econometrics and Quantitative Economics. Working with R for almost 10 years now, Pawel applied it in the field of geospatial data analysis, credit risk assessment, financial provisions calculation and clinical trial data analysis. Joined Roche in 2019, currently he's the Chief Engineer responsible for one of the biggest R codebase in Roche Product Development.

Osheen Macoscar

Data Scientist - Jumping Rivers

Data Scientist and Trainer at Jumping Rivers.

André Veríssimo

Appsilon

André is a senior engineer at Appsilon developing tools to better understand and interact with data. André holds a Ph.D. in Computer Engineering specializing in exploring new survival models in omics cancer data that use network topology to improve accuracy and interpretability. At Appsilon he is working on improving open-source packages and helping deliver enterprise-ready dashboards.

Tymoteusz Makowski

Appsilon

Tymek is a senior engineer at Appsilon. He has a background in maths and data science. During his software engineering career, Tymek worked with various programming languages including R, Go, and TypeScript. This variety allows him to bring a fresh perspective to the team. At Appsilon, Tymek is working with clients and contributing to open-source projects. Namely, he is one of the authors of the Rhino package.

Cassio Felix

Data Visualization and App Developer

Data analyst and data visualization specialist with over 7 years of experience. Advanced skills in data analysis, statistical/econometric modeling, and statistical analysis using R and SQL, and data visualization using the R/Shiny package. Master's degree in Economics (UMFG) and a specialization in Big Data applied to Football from the University of Murcia (in partnership with Sportsdata Campus) . Currently I am responsible for App (Dart/Flutter) and WebApp (R/Shiny) development at Lumen Saúde (Mental Health startup company ).

Bernardo Lares

GSK, Operational Excellence Lead

Bernardo Lares, based in Madrid and contributing to GSK's Finance team, is an enthusiastic advocate for data science, automation, visualizations, and R. With a focus on Marketing, Pharma, and FinTech sectors, he applies data science to solve real-world challenges, aiding users and clients in maximizing the value of their data. Bernardo has crafted numerous R packages, with GeMMMa being his current standout project. During his tenure at Meta, he played a crucial role as the lead developer of Robyn, a tool empowering businesses to semi-automate marketing mix models (MMM) using open-source solutions. GeMMMa has evolved into a pivotal interface at GSK, facilitating the global scaling of MMM. Finance Partners now leverage GeMMMa to take ownership of their brands and manage projects end-to-end, regardless of their technical coding proficiency.

Ivan del Valle

Operational Excellence Analytics Lead at GSK

Ivan del Valle, Operational Excellence Analytics Lead at GSK, Madrid, Spain. Degree on Computer Scientist with 14 years of professional experience.

Lindsay Jorgenson

director of business intelligence at ASTHO + lover of interactive data visualization

Lindsay has a decade of experience working with state and local public health agencies within areas of mixed-methods research, data visualization, and data storytelling. Lindsay's COVID hobby was learning R, and in 2022, she developed her first Shiny app (anyone can do it!). Lindsay has since developed several Shiny applications with a modern vibe, including one for the Association of State and Territorial Health Officials, where she is the director of business intelligence (www.astho.org/profile). Lindsay lives in Lawrence, Kansas with her husband, two kids, and their pawed and hoofed animal friends.

Stefan Linner

Freelance R Shiny Developer

I've been working with R since 2017 and have been a freelance R developer for 1.5 years. Currently, I'm developing shiny applications that automate data manipulation, analysis, visualization, and reporting tasks for several companies, mainly in the pharma/healthcare sector. Furthermore, I developed the R package boostrq for a scientific publication in cooperation with the University of Passau, and I'm the maintainer of the R package tidyMC on CRAN.

Mouna Belaid

Data Consultant | ArData

Mouna Belaid is a Data Consultant at ArData with an engineering background in statistics and data analysis and over five years of professional experience working on data-driven projects using analytical tools. She is a member of the R-Ladies Global team and the lead of R-Ladies Paris.

Katharina Ströle

Miltenyi Biotec

2013-2017 Bachelor of Science Mathematik 2017-2020 Master of Science Mathematik 2020-2023 Author and lector at the publisher MedGurus Since 2023 Statistical programmer at Miltenyi Biotec

Michael C. Rubin

Founder SwissDataApps (former ODAPES) / Data Scientist

Michael C. Rubin is a Swiss/Brazilian Engineer and MIT Data Scientist, who works with R-Shiny since 2018. In 2020, Michael co-founded ODAPES, a pioneering initiative that utilized R-Shiny to catalyze the digital inclusion of the overlooked smallholder farmers. Building on this success, Michael embarked on a new venture in late 2023, founding SwissDataApps with a mission to democratize access to R-Shiny solutions in the Swiss Market. The focus lies on smaller companies, which are left behind in the digital transformation given the severe shortage of IT professionals. Michael’s core expertise lies in developing production-grade R-Shiny apps. He was a 2 times speaker at the global R-Shiny conference.

Marian Freisleben

Research Group Data Science for Life Science, Institute of Precision Medicine, Hochschule Furtwangen University

Marian Freisleben (born 27th May 1998 in Merseburg, Germany) - 2018 - 2022: B.Sc. in Molecular and Technical Medicine at Hochschule Furtwangen University, Germany - 2022 - 2024: M.Sc. in Precision Medicine Diagnostics at Hochschule Furtwangen University, Germany - Since 2022: Member of Research Group Data Science for Life Science, Head: Prof. Dr. Matthias Kohl

Marcin Dubel

Software Engineer at Appsilon Data Science

As I'm working on R Teams since 2015 I've learned a lot about crucial aspect of sharing the clean R code. I've started with applications for statistical methods, then banking apps in Shiny, bioinformatics and finally whole scope of data science projects delivered by the Appsilon company.

Rory Chen

UNSW

Rory joined the Centre for Healthy Brain Ageing (CHeBA) within the School of Psychiatry, UNSW in January 2021. She is the manager of Dementias Platform Australia. Rory is a data scientist, with a MSc in Statistics from UNSW and a BSc in Statistics from Beijing Normal University.

Jinhwan Kim

Shiny developer, Zarathu Co., Ltd.

Jinhwan is R / Shiny developer with background in bioinformatics. He has dedicated his career to crafting data products using R and Shiny across diverse industries as a Data Scientist. Currently, He is a key contributor at Zarathu, where he specializes in developing R packages and Shiny applications for medical research. His role also extends to educating individuals on optimizing their data utilization and crafting informative articles. His expertise extends to cutting-edge topics, as he has recently delivered presentations on the innovative use of web assembly and github for Shiny applications.

Xavier Escribà Montagut

Software engineer - Big Omics Analytics

With an academic foundation as an Aerospace Engineer, holding both bachelor's and master's degrees, I transitioned into the realm of data science to deepen my understanding of software development and data analysis. This journey led me to pursue a Ph.D. in Bioinformatics, where I specialized in developing R packages and Shiny applications, combining my passion for engineering with the intricate challenges of bioinformatics. Professionally, I embarked on my career as a Ph.D. student, immersing myself in research and development within the bioinformatics field. My career trajectory took a significant turn when I joined Big Omics Analytics as a Software Engineer. In this role, I wear multiple hats, including Shiny application development, DevOps, business intelligence, and general problem-solving. My work is driven by a commitment to leveraging technology to unravel complex data puzzles, streamline processes, and enhance decision-making in the bioinformatics domain. Through my academic and professional experiences, I have cultivated a multifaceted skill set that spans across engineering, data science, and bioinformatics. I am passionate about applying these skills to develop innovative solutions that bridge the gap between complex data analytics and user-friendly interfaces, ultimately enhancing the accessibility and impact of bioinformatics research.

Eric Kostello

Executive Director of Data Science at Warner Brothers Discovery

Eric Kostello is an Executive Director of Data Science at Warner Brothers Discovery, currently focused on content production. In a previous role he was a co-creator of a product that quantified the experience of viewing entertainment content, transitioning from a single survey to an always-on, continuously updating survey of the top 1000 TV shows. Eric has a Ph.D. in Sociology from UCLA and simultaneous BAs in Physics and Sociology from UC Berkeley. He is a coauthor of a forthcoming book on data science leadership.

Aaron Bogan

Senior Biostatistician, Mayo Clinic

Lead Biostatistician for Mayo Clinic's data visualization and process automation team.

Molly Voss

Senior Statistical Programmer | Mayo Clinic

My name is Molly Voss, I am Senior Statistical Programmer at Mayo Clinic where I support prospective clinical trials and retrospective research studies for the Radiation Oncology department. I also support the Visualization Lab where we create shiny dashboards to visualize data in interactive ways for our clinical colleagues.

Dror Berel

Independent Statistical Consultant

Dror Berel is a statistician with over 20 years of work experience in both academia and industry. He loves using R for (almost) everything. He works as an independent consultant, solving business problems and scale analytical tools for diverse data domains, leveraging both traditional Machine learning and Causal Inference along with modern approaches. Among the data domains he specialize in are: genomic biomarker discovery, clinical data reporting (CDISC, ADaM, TLGs). His services also include: Authoring Real World Evidence data analysis and documentation. Writing statistical plans, Power analysis, Design of experiments, and biomarker discovery. Developing R/Shiny apps, and REST APIs. Golem, Rhino, Teal and others.

Jakub Sobolewski

Senior R/Shiny Developer | Appsilon

Jakub is a senior engineer at Appsilon. He has a background in applied physics. Before Appsilon he worked in insurance and banking as an analyst. Maintainer of the shiny.react and shiny.fluent packages.

Brandon Sucher

Biostatistician at Moderna

Brandon (he/him) is a Biostatistician on the Specialty Data Analytics team at Moderna. He specializes in crafting interactive visualizations for clinical trial data and creating a seamless analytics pipeline that expedites internal decision-making. His professional interests include analytic process automation and building R communities. Brandon holds a Master’s degree in Biostatistics from Duke University.

George Stagg

Senior Software Engineer at Posit

George is a Software Engineer working on the webR project as part of the Open Source Team at Posit Software PBC. A former academic, George also has experience with teaching and research in computational mathematics and statistics. When not working with software, George enjoys digital photography, fantasy & sci-fi, and tinkering with electronic synthesisers.

Becca Krouse

Data Scientist | GSK

Becca Krouse is a data scientist in GSKs Statistics and Data Science Innovation Hub. A biostatistician by training, she has experience spanning 13+ years in the field of clinical research and specializes in developing R-based tools.

Eleanor Mare

Data Scientist | Datarock

I am a data scientist with a background in geoscience, particularly geochemistry and microanalysis. I completed a Bachelor of Science (Advanced) with Honours at Monash University, and a PhD in geoscience at the Australian National University. After a few years as a postdoctoral research fellow at the University of St Andrews in Scotland, I transitioned from academia into industry by returning to Australia for my current role with Datarock.

Andrew Bates

Data Solutions Engineer | Atorus Research

I'm a software developer helping people solve their data problems. Mostly that means Shiny applications and R packages. I love building tools that make peoples lives easier.

Deepsha Menghani

Microsoft, Sr. Data Science Manager

Deepsha works as a Data Science Manager at Microsoft, where her work focuses on investment impact analysis and customer propensity modeling. She's passionate about improving her data visualization and story-telling skills.

Maria Grycuk

Director of Delivery at Appsilon

Director of Delivery at Appsilon