pharmaverse
- Lucy Marks
Working Group Scope |
Pharmaverse is a connected network of companies and individuals working to promote collaborative development of curated open source R packages for clinical reporting usage in pharma, in a space where previously we would only ever have worked in silos on our own closed source and often duplicative solutions. Adopting shared solutions in this post-competitive space should ultimately ease regulatory review, resulting in bringing new treatments to patients faster. For a full list of projects see pharmaverse.org |
Michael Stackhouse is the Chief Innovation Officer at Atorus Research. He has extensive CDISC experience, working with both Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) standards, and serving as a subject matter expert for Define-XML. He holds a bachelor’s degree from Arcadia University, where he studied business administration, economics and statistics. He is a 2020 UC Berkeley School of Information Master of Information and Data Science (MIDS) programme graduate, where he worked on projects involving computer vision, natural language processing, cluster computing and deep learning. His special interests include automation, machine learning, big data technology and mentoring rising programmers. Previously, Michael was a senior manager of statistical programming at Covance, where he led US innovation activities for the FSP department. Under his guidance, projects achieved data standardisation 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 studies across a single compound. In addition, he took on automation projects, including 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. Michael and his team at Atorus have been actively developing and releasing open-source R packages, such as pharmaRTF and Tplyr. |
Julia Gnatek is a Clinical Data Scientist at Novo Nordisk. She began her career as a statistical programmer and is now a statistical programming project lead within the Rare Disease area. As an R, SAS and Python user, Julia is dedicated to leveraging her programming skills to drive innovation within the organisation. Outside of work, she enjoys participating in data science communities and attending industry conferences to stay updated with the latest trends and advancements. |
