James Roney
ML Research Engineer at D. E. Shaw Research
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJames Roney is an ML research engineer at D. E. Shaw Research and a PhD student at MIT specializing in computational biology and machine learning, with a decade of experience bridging academic rigor and industry research. He has contributed to generative models for small molecules and protein structure prediction, and previously developed Bayesian MCMC methods for cancer growth modeling that led to a co-first author publication. A Harvard alumnus with summa cum laude and highest thesis honors in CS and an MS in Statistics, he combines theoretical foundations with practical implementation across Python and R tooling. Based in Cambridge, MA, James pairs teaching experience in statistics and theoretical CS with hands-on lab and industry internships, making him adept at translating complex models into reproducible software.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Summa Cum Laude, Phi Beta Kappa, Highest Thesis Honors, Bachelor's degree, Computer Science, Summa Cum Laude, Phi Beta Kappa, Highest Thesis Honors at Harvard University
Github Skills (15)
markov9
discord-bot7
protein-structure7
discord6
nodejs5
pytorch5
javascript4
cpp4
gpu4
stylegan3
scraper3
open-data3
hosting2
python2
hardware1
Programming languages (5)
Github contributions (5)
jproney/DeltaArm
Dec 2017 - Jun 2019
Contributions:20 commits, 5 pushes, 2 branches in 1 year 6 months
jproney/bpinference
Jul 2019 - Jan 2022
Bayesian inference for Markov Branching Process estimation
Contributions:4 PRs, 83 pushes, 15 branches in 2 years 6 months
bayesian-inferenceinferencebayesian-statisticsestimationmarkov
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