Summary
Pavel Chvykov is an independent researcher based in Austin with 11 years of experience in complexity science and statistical mechanics, recently completing a PhD in theoretical physics at MIT. He specializes in stochastic systems and control, translating rigorous theoretical tools into actionable insights for complex human systems, particularly in economics and policy. Pavel combines deep analytic training from institutions including MIT, Perimeter Institute, and Oxford with a pragmatic orientation toward real-world impact. Now at IGDORE, he is focused on bridging fundamental research and applied decision-making, bringing both academic breadth and a track record of interdisciplinary study to tackle societal-scale problems.
11 years of coding experience
Associate of Science - AS, Associate of Science - AS at Washtenaw Community College
Master of Science - MS, Master of Science - MS at Perimeter Institute (PSI program)
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Massachusetts Institute of Technology
Bachelor of Science - BS, Bachelor of Science - BS at University of Michigan
1 year: part A, 1 year: part A at Oxford University
Russian, English, French, Spanish