Jason Donald
VP, AI And Data Science
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJason Donald is a VP of AI and Data Science with 16 years of industry experience focused on computational enzyme engineering and AI-assisted protein design. He blends deep technical expertise in structure-based modeling, sequence analysis, ML-driven sequence design, and pathway engineering with hands-on wet-lab experience across NGS, mammalian cell culture, fermentation, and analytical chemistry. Over 14 years at Manus and senior roles at Stylus Medicine he has built modeling platforms, guided therapeutic recombinase and biocatalyst programs, and led implementation of LIS and analytics pipelines that tightly integrate computation and experimental workflows. Known for mentoring computational scientists and shaping engineering standards, he delivers practical tools that accelerate R&D and improve experimental throughput. Trained as a chemist (PhD, Harvard) with a CS-inflected undergraduate background, he uniquely combines rigorous physical science intuition with software and data systems thinking to solve complex enzyme and pathway challenges.
16 years of coding experience
6 years of employment as a software developer
B.S., Chemistry and Computer Science, B.S., Chemistry and Computer Science at Duke UniversityPh.D., Chemistry, Ph.D., Chemistry at Harvard University
Github Skills (2)
c-library8
cpp7
Programming languages (1)
Github contributions (1)
MSL-devel/mslib
Sep 2009 - Jan 2015
MSL is a C++ library that enables the computational study of macromolecules.
Contributions:106 commits in 5 years 4 months
mslcppc-librarymacromoleculescomputational
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.