Nicholas Franklin
Senior Scientist, Machine Learning at Flagship Pioneering
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNicholas Franklin is a senior machine learning scientist with 11 years of research and applied experience building generative models, reinforcement learning algorithms, and Bayesian inference methods, now focused on biomolecular modeling at Flagship Pioneering. He combines deep academic training—a PhD in Cognitive Science and postdoctoral work at Harvard—with hands-on industrial experience in NLP and computer vision to move ideas from papers into product impact. His publications at top ML venues reflect a focus on generalizable methods rather than narrow task tuning, and he has a track record of applying those methods to challenging scientific domains. Based in New York, he brings a cross-disciplinary background spanning computational neuroscience, neurobiology, and even Spanish, which helps him communicate complex ideas across teams and stakeholders.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Neurobiology, Bachelor of Science (BS), Neurobiology at The University of Texas at AustinDoctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at Brown University
English, Spanish, French
Github Skills (7)
sem8
meta-analysis6
ecology5
simulations4
python3
tensorflow2
tensor1
Programming languages (2)
Github contributions (5)
nicktfranklin/GeneralizingToGeneralize
Feb 2018 - Feb 2019
Simulations and analyses to accompany the behavioral paper
Contributions:26 commits, 2 PRs, 13 pushes in 1 year
analysessimulationsmeta-analysisbehavioralecology
nicktfranklin/StateInference
Apr 2023 - Feb 2025
Contributions:13 PRs, 130 pushes, 21 branches in 1 year 10 months
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