Summary
Thiparat Chotibut is a theoretical and computational physicist with 10 years of experience applying statistical physics, dynamical systems, and many-body quantum ideas to machine learning and computational neuroscience. With a PhD from Harvard and postdoctoral work at SUTD and Harvard, he develops theoretical frameworks and scalable simulation software to address problems from evolutionary dynamics to novel ML algorithms. He balances curiosity-driven research and societally motivated applied projects, co-founding the Quantum Technology Foundation and leading Chula’s Intelligent and Complex Systems Lab. Currently an assistant professor and AiCE adjunct faculty, he bridges academia and industry in Bangkok while shaping national quantum initiatives. An under-the-radar strength is his track record of translating complex stochastic and hydrodynamic models into practical numerical tools (e.g., kinetic Monte Carlo and lattice Boltzmann implementations) that reveal nontrivial behavior in biological and learning systems.
10 years of coding experience
9 years of employment as a software developer
Cross Registration, Statistical Physics and Quantum Field Theory, Cross Registration, Statistical Physics and Quantum Field Theory at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Theoretical Physics, Doctor of Philosophy - PhD, Theoretical Physics at Harvard University
Hydrodynamics, Hydrodynamics at The Boulder Summer School in Condensed Matter and Materials Physics
Master of Arts - MA, Mathematics, Master of Arts - MA, Mathematics at University of Virginia
English, Thai