Taylor Killian
Principal Scientist, AI Research at Lila Sciences
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolTaylor Killian is a Principal Scientist and AI researcher with a decade of experience building mathematically grounded decision-making systems under uncertainty, particularly for healthcare applications. His work spans post-training and reinforcement learning research to advance scalable scientific intelligence, with recent senior research roles at MBZUAI and Lila Sciences and research stints at Apple, Google, and Microsoft. Trained at Harvard and completing a PhD at the University of Toronto while collaborating with MIT, he blends rigorous optimization, stochastic modeling, and adaptive control to tackle partial observability and robust generalization. He has applied these techniques in high-stakes domains from wearable health to national security, translating theory into practical, safety-conscious solutions. Notably, Taylor’s background in fluid dynamics experiments and early hands-on systems analysis informs a rare combination of experimental intuition and formal machine learning theory. Based in San Francisco, he focuses on decision-making, generalization, and reasoning at the intersection of ML research and healthcare impact.
10 years of coding experience
13 years of employment as a software developer
Master of Engineering (M.Eng.), Computational Science and Engineering, Master of Engineering (M.Eng.), Computational Science and Engineering at Harvard UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of TorontoB.S., Mathematics, B.S., Mathematics at Brigham Young University
English, Swedish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (54)
representation-learning10
representations9
gaussian9
health8
stochastic-processes8
surface8
gaussian-processes8
markov8
approximate7
artificial-neural-networks7
signal-processing7
pytorch7
kalman-smoother7
reinforcement-learning7
medical7
Programming languages (5)
Github contributions (5)
twkillian/twkillian.github.io
Nov 2017 - Feb 2025
Contributions:104 pushes, 1 branch in 7 years 4 months
MLforHealth/rl_representations
Nov 2020 - Jul 2021
Learning representations for RL in Healthcare under a POMDP assumption
Contributions:1 review, 13 commits, 2 PRs in 8 months
pomdprepresentationsreinforcement-learningmachine-learningrepresentations-learning
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