ShinyConf 2023

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 and React. In his free time he likes to travel and listen to music.

Carson is a software engineer on the Shiny team at Posit. He joined Posit in 2018, and in recent years, has focused primarily on Shiny for Python and improving Shiny UI. The Shiny UI work has manifested in the creation and development of many R packages such as bslib, thematic, htmltools, htmlwidgets, sass, shiny, rmarkdown, flexdashboard, and more. Carson also has a PhD in statistics, is a recipient of the ASA’s Chambers Statistical Software Award, has maintained the R package plotly since 2015, authored the book “Interactive data visualization with R, plotly, and shiny”, and ran a successful freelance consulting service for numerous years.

Colin co-founded Jumping Rivers – a full-stack data science consultancy company based in the UK. Jumping Rivers specialises in everything R, from infrastructure management to building shiny applications. Colin has been using R since 1999 and fondly remembers using the underscore as an assignment operator. A few years ago, he found time to co-author the O’Reilly book Efficient R Programming.

Marcin is a Staff Engineer at Appsilon, focusing on establishing and implementing best practices in Appsilon projects. Before joining Appsilon he worked as a Shiny programmer and consultant for a pharmaceutical company. His academic background is in statistics and economics. He is interested in improvements in the process of software development and he enjoys sharing his knowledge with other teams.

Dr. Barret Schloerke is a Software Engineer at Posit. He currently develops and maintains many R packages in the Shiny ecosystem at RStudio 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.

Eric Nantz is a director within the statistical innovation center at Eli Lilly and Company, creating analytical pipelines and capabilities of advanced statistical methodologies for clinical design used in multiple phases of development. Outside of his day job, Eric is passionate about connecting with and showcasing the brilliant R community in multiple ways. You may recognize his voice from the R-Podcast that he launched in 2012. Eric is also the creator of the Shiny Developer Series where he interviews authors of Shiny-related packages and practitioners developing applications, as well as sharing his own R and Shiny adventures via livestreams on his Twitch channel. In addition, Eric is a curator for the RWeekly project and co-host of the RWeekly Highlights podcast which accompanies every issue.

Ashley is a data scientist at Ascent, specialising in the development of shiny applications. With a strong interest in HTML frameworks and UI design, he is an active member of the R open-source community and is a maintainer of several shiny related packages.

I’m a data enthusiast who loves R 🚀, Shiny ✨, fantasy football 🏈 and carving pumpkins 🎃 By day, I’m a Machine Learning Engineer for Zelus Analytics. I started [DynastyProcess.com](https://dynastyprocess.com) and [ffverse](https://ffverse.com), maintain [nflverse](https://github.com/nflverse) data and packages, and mentor at [R4DS Slack Community](https://r4ds.io). Away from my keyboard, I enjoy skiing ⛷, lifting weights 🏋️, rowing 🚣️, and hanging out with my dog Jasper 🐶

He is an Associate Program Director of Internal Medicine residency program and Infectious Disease physician at Cleveland Clinic Akron General, Ohio, USA. He is a Data Science hobbyist and has been an R convert since late 2019, all because of a question during a meeting, “How can we make sense of all these numbers?”. He has learned R from online tutorials, uses R daily, and has built several dashboards and automation tasks for better efficiency and learning. He is also passionate about using experiential learning to improve data literacy. For example, he experienced probability theory by dedicating 2022 to randomly buying his wife ~24 bouquets, which is estimated to be a ~6.6% chance per day. To his surprise, there were several occurrences of back-to-back purchases of flowers. He enjoys no-till gardening, practicing Tai chi, and learning.

Emmanuel Olamijuwon (Dr.) is an R-enthusiast passionate about leveraging innovative methods and data sources for improving social and health behaviours. He is currently a Research Fellow at the University of Southampton, where he focuses on evaluating a behavioural intervention for improving population health in sub-Saharan Africa. Besides his work, he is passionate about spreading data science skills across Africa. He co-organises the Eswatini UseR group in Eswatini and the Summer Institute in Computational Social Science in Nigeria and Ghana.

Pawel 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.

Dony Unardi is a Data Scientist with more than a decade of experience in the pharmaceutical industry. In the last five years, he has supported the adoption of R and implemented R solutions within his role in Product Development Data Sciences at Roche/Genentech. He authored several internal R packages and Shiny apps, focusing on data curation and harmonization.

Mohamed El Fodil Ihaddaden has a Ph.D in Economics from the Higher National School of Statistics and Applied Economics (ENSSEA) in Algeria. He works as a R/Shiny developer. He’s also the author of many R packages (ralger, cronologia, ddplot among others). In his free time he enjoy watching cool animes, his favorite is Attack on Titans.

Reid Haefer specializes in using data science to support informed decision-making through modeling, data visualization, and generally making sense of complex data. In his role as consultant at Resource Systems Group (RSG), Reid helps public and private sector clients sort through the evolving data and technology landscape to make decisions supported by useful tools, methodologies, and information. His topical expertise spans several disciplines including urban planning, transportation, environmental science, energy, real estate, public policy, and sustainability.

Juan Cruz holds a Ph.D. in computer science from the National University of Córdoba. He has over 10 years of experience with R and a passion for open-source contributions. After working for large companies like Intel, he has spent the past 3 years working in startups as a data scientist, data engineer, and Shiny & Plumber developer. Through these roles, he successfully turned an MVP idea into a production-grade Shiny application hosted on AWS. Currently, Juan Cruz is a Data Science Engineer at Happy Cabbage Analytics.

Péter Sólymos is a senior data scientist and ecologist. He has authored several R packages for the statistical analysis of count data, presence-only data, and for multivariate methods and hierarchical models. Péter is a big proponent of Shiny and Plumber APIs, he has built several apps for real-life decision-making. Péter is also the co-founder of Analythium Solutions and regularly writes tutorials about hosting data applications at https://hosting.analythium.io.

Dr. Jacqueline Nolis is a data science leader with 15 years of experience in running data science teams and projects at companies ranging from Airbnb to Boeing. 

Jacqueline R expertise includes deploying R into production systems and neural networks in R. For fun, Jacqueline likes to use data science for humor—like using deep learning to generate offensive license plates.

Yury is a UX Designer with more than 8 years experience at UX/UI domain and more than 16 years of design overall. He started his UX path with KPMG where was working with such fields as Fintech, Medtech, Automatization processes, CRM solutions. After KPMG he focused on Public Procurement in Ukraine as part of a transparency program within the uStudio company. Now he part of Appsilon family and helps users achieve their goals and meet business needs.

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.

Krystian is a Scientific Software Engineer at 7N. For many years involved in business consulting and analytical projects as well as conducting workshops in the R language. Currently focused on implementing complex Shiny components operating on real world medical data. He is interested in optimizing R-based workflows and pushing Shiny to the limit. Enthusiast of tea and vinyl records world.

Marek Rogala is CTO at Appsilon, where he focuses on innovation in R, Shiny and applying Machine Learning in business and Data4Good. Passionate about helping people grow, software engineering, recent advances in machine learning, and functional programming. Experienced tech leader, ML and software engineer. He previously worked at Google and at Domino Data Lab, where he was one of the first employees.

As a data scientist, I am passionate about data-driven impact. Being trained at highly ranked universities in Europe and the US throughout my undergraduate and PhD studies, I have specialized in applying advanced quantitative methods — ranging from survival models, generalized additive models, network analysis, machine learning to natural language processing — to answer questions of high societal importance. I use a broad range of statistical programming tools (R, Python, SQL, Tableau, Stata) to analyze projects both for academic and industry settings. With several years of experience working in international interdisciplinary teams at different time zones, I am used to structuring my workflow efficiently and goal-oriented to excel under pressure.

Mouna Belaid is an engineer in Statistics and Data Analysis, graduated from the Higher School of Statistics and Data Analysis – ESSAI, Tunis and holds a research master’s degree in Data Processing and Complexity of Living Systems from the National School of Engineers of Tunis – ENIT and Paris Descartes University. She is currently a Business Intelligence Consultant at Prime Analytics. She is active in various tech communities where she co-founded PyLadies Tunis and Tunis R User Group. She is also a member of R-Ladies Global and ArabR committees, and lead of R-Ladies Paris community.

Jose Fernandez is an applied sport scientist with more than 15 years’ experience working in high-performance sporting environments. He holds a BSc in Sport Science from the European University of Madrid and a MSc in High Performance Sport from Australian Catholic University.In 2016, Jose was hired to lead the Sport Science department at the Houston Astros in MLB. During his time at the Astros he used his expertise in R programming to create analytical tools and platforms to support the team’s decision-making processes across various departments, including player recruitment, development and performance.In 2022, he became the VP of Performance & Technology for Blue Crow Sports, a group that owns and manages various clubs and academies across different international soccer leagues. In his current role, he leads the organizational efforts for all performance and research-related initiatives and oversees technology adoption and implementation.

Dr. Emi Tanaka is a Senior Lecturer in Statistics at Monash University, Australia whose primary interest is to develop impactful statistical methods and tools that can readily be used by practitioners. Her research area includes data visualisation, statistical workflow, mixed models and experimental designs, motivated primarily by problems in bioinformatics and agricultural sciences. She is currently the President of the Statistical Society of Australia Victorian Branch and the recipient of the Distinguished Presenter’s Award plus the President’s Award for Leadership in Statistics from the Statistical Society of Australia

Shel Kariuki is an experienced data analyst with eight years of experience analyzing data using R. She currently works as a data analytics consultant, where some of her tasks involve developing shiny apps. Her main passion is to train and utilize data analytics to drive development projects in Africa, reflecting her commitment to advancing data-driven solutions in the region

Tanesya came from a data science background and have a keen interest in data visualization and R-Shiny development. She learned about Shiny in her first job as data scientist and fell in love right away. She’s now a happy R-Shiny developer in Appsilon.