James Roney
ML Research Engineer at D. E. Shaw Research
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJames Roney is an ML Research Engineer and MIT PhD student specializing in computational biology and machine learning, with nearly a decade of research and industry experience. He currently advances ML research at D. E. Shaw Research, tackling generative modeling, protein structure prediction, and small-molecule inference to accelerate scientific discovery. His earlier work includes Bayesian methods for cancer growth modeling at Dana-Farber and teaching roles at Harvard, illustrating a strong blend of rigorous theory and hands-on mentorship. He holds summa cum laude BS in Computer Science and a Master's in Statistics from Harvard, with co-first authorship on a Bioinformatics paper, signaling a track record of publishable, cross-disciplinary results. Based in Cambridge, MA, he bridges academia and cutting-edge computational biology with a pragmatic, production-minded mindset.
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 (16)
discord-bot7
protein-structure7
pytorch6
memory-efficient6
discord6
nodejs5
javascript4
image-quality4
gpu4
scraper3
open-data3
hosting3
stylegan2
deep-learning2
python2
Programming languages (4)
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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