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James Wade is a Research Scientist working in the chemicals and materials science industry where he combines the power of data science with chemistry and materials science. His current projects focus on augmenting materials characterization innovations with statistical analysis, machine learning, and data visualization. James enjoys contributing to a growing data science community both in and outside of work and is a passionate advocate of open-source data science.

Since leaving graduate school in 1998, Angie has had the honor of working for/with Tribal Nations to protect their river relatives. Her work ranges from gathering data in the field to using Posit products to analyze/summarize/visualize/share it. She also works with Tribal Exchange Network Group to train other tribal environmental professionals to use code to streamline their data-related processes. Angie is thrilled to do a presentation with Alena Reynolds, one of the recipients of TXG assistance, about the result of their work together.

Casey Aguilar-Gervase is a Senior Data Visualization Engineer at Atorus Research. Casey enjoys combining the art of design with clinical programming in R to create innovative Shiny applications. With a strong background in both disciplines, Casey is passionate about pushing the boundaries of Shiny to develop user-friendly, data-driven solutions that meet technical requirements and provide an exceptional user experience.

With over six years of experience in R Shiny development, I’ve worked across diverse sectors like finance, pharmaceuticals, logistics, and entertainment. At Appsilon since 2019, I ensure project quality as a Staff Engineer while also managing delivery for our largest client. Additionally, I’m proud to be the winner of the Shiny Contest 2021. My academic background includes a master’s degree in Data Science and Finance. In my free time I enjoy sword fighting practices.

Lovekumar is a senior consultant and developer at ProCogia, where he specializes in creating comprehensive data science products. He holds an MS in Engineering Management with a focus on data science from Northeastern University and has over five years of experience in consulting. He excels in building enterprise-ready Shiny applications, developing RESTful APIs, and producing insightful data reports. He is skilled in statistical modeling, developing R packages, and leveraging R’s capabilities across various applications. Additionally, he is an AWS Certified Solution Architect. At ProCogia, He collaborates with clients to design and implement data-driven solutions, transforming concepts into production-ready systems. His responsibilities include leading teams in agile environments and managing client interactions from initial requirements to deployment.

Mike Stackhouse, Chief Innovation Officer at Atorus Research, is a 2020 UC Berkeley School of Information Master of Information and Data Science (MIDS) program graduate, where he worked on projects involving computer vision, natural language processing, cluster computing, and deep learning. Mike and his team at Atorus are the authors of the R packages pharmaRTF and Tplyr, as well as contributing to the pharmaverse packages xportr, metacore, metatools, envsetup, and datasetjson. Previously, Mike was a Senior Manager of Statistical Programming at Covance, where he led U.S. innovation activities for the FSP department. Under his guidance, projects achieved data standardization according to SDTM standards on upwards of 75 studies, including database integration and data warehousing. He also managed programming activities through a multiagency submission for multiple studiies. In addition, he took on multiple automation projects and led innovation efforts, such as the development of a tool capable of dynamically locating programming independence violations and automatically detecting protocol deviations, as well as the creation of data pipelines around tracking systems for programming deliverables. Within industry, Mike sits on the council of Pharmaverse, as well as the board of the CDISC Open Source Alliance (COSA), and co-leads the PHUSE working group Data Visualization and Open Source Technology.

Kirill Müller has been working on the boundary between data and computer science for more than 25 years. He has been awarded five R consortium projects to improve database connectivity and performance in R. Kirill is a core contributor to several tidyverse packages, including dplyr and tibble, and is currently working on duckplyr, the next iteration of dplyr that uses DuckDB as a backend. He holds a Ph.D. in Civil Engineering from ETH Zurich and is a founder and partner at cynkra.

James Black leads Insights Engineering for Roche’s Data & Statistical Sciences department, and is responsible for the SCE’s used at Roche for analysing clinical trial data, real world data, and personalised health care analyses, as well as our insights codebase (which is predominantly R code). He is also the Pharma Development representative to Roche’s Inner and Open Source Office, and interested in how we can generate insights with rigor, reproducibility and efficiency.

My name is Hubert! I am a visual designer at Appsilon – I have been dealing with interdisciplinary graphics for 9 years – from branding, through illustrations, to UI/UX. I’ve been spending a lot of time lately creating a lot of visual communications for R community!

Colin has been using R since 1999. He’s the author of a number of R packages and has published the book Efficient R Programming with O’Reilly.