As CTPO of A2-Ai, Devin works with clients to deliver end-to-end
solutions that support quantitative decision-making. Devin specializes
in bridging the unique characteristics of each client’s IT structure
with the needs of the scientific team. Some of his focuses for clients
include providing strategies to migrate from existing tools to more
modern cloud-based workflows, and building prototype tools and
dashboards to solve business challenges. Before joining A2-Ai, Devin
worked as a principal solutions engineer to help dozens of
organizations ranging from the FDA to small biotech and device
manufacturers to develop and implement data science solutions.
Devin received his B.S. in Biochemistry from University of North
Carolina, Chapel Hill, his Master of Toxicology from North Carolina
State University, and his PhD in Pharmaceutical Sciences from
University of Maryland, Baltimore. His doctoral training focused on
application of quantitative methods and regulatory strategy to
accelerate the development of pharmaceutical products. In addition, he
served as an ORISE fellow at the FDA working to improve the agency’s
capability to analyze large datasets across disease areas for
regulatory policy and decision-making. He then spent time consulting
across many of the top 10 pharma companies around how to adopt novel
data analysis toolchains, before joining Metrum Research Group, where
he grew a new Technology Solutions group from the ground up. He led
the development of a validated high performance compute platform,
designed novel analytics tools, handled data management and
governance, and grew a technical consulting arm targeting various
stages of the drug development lifecycle from genomic analysis through
manufacturing quality assurance. Devin is a world-leading expert in
the use of R and python in controlled and validated environments. He
has trained hundreds of scientists on how to do rigorous data science,
and has successfully guided dozens of organizations looking to adopt
open source data science tooling.