Lucas Makinen
Physics-AI Research Fellow at University of Cambridge
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLucas Makinen is a Physics-AI Research Fellow at the University of Cambridge who combines nine years of cross-disciplinary experience in statistics, deep learning, and cosmology to build probabilistic and scalable inference methods for high-dimensional physical data. Trained at Princeton, Sorbonne/IAP, and Imperial College (PhD 2025), he has published simulation-based and neural-network approaches to extract cosmological parameters and led ML projects funded by NASA and the Simons Foundation. He co-founded a stealth AI startup while teaching data science and decision theory at London Business School, translating research-grade algorithms into practical tools for industry. His work spans Bayesian network models, lossless neural compressors for correlated fields, and sparse sampling libraries for genomics—showing an appetite for both theoretical rigor and reusable code. An unexpected strength is his musical training in trumpet performance, which he credits for discipline and creativity in problem solving.
8 years of coding experience
8 years of employment as a software developer
Master's degree Physics, Master's degree Physics at Sorbonne UniversitéTrumpet Performance Music, Trumpet Performance Music at Royal College of MusicDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Imperial College LondonBachelor of Arts (B.A.) Astrophysics, Bachelor of Arts (B.A.) Astrophysics at Princeton University
English, French, Finnish, Italian
Github Skills (15)
simulation8
survey7
mojo7
halo6
python6
inference5
cosmology4
ai3
jax2
machine-learning2
statistics1
automatic-differentiation1
deep-learning1
tensorflow1
neural-network1
Programming languages (3)
Github contributions (5)
tlmakinen/snapjax
Jan 2022 - Jun 2022
Contributions:29 commits, 42 pushes, 1 branch in 5 months
tlmakinen/deep21
Aug 2020 - Jan 2022
Contributions:42 commits, 85 pushes, 2 branches in 1 year 5 months
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.