Dan Waxman
Research Affiliate
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDan Waxman is a research-oriented postdoctoral scientist and MIT Research Affiliate with 11 years of experience specializing in Bayesian statistics, causal inference, and online/sequential learning for dynamical systems. Currently at Basis Research and collaborating with MIT's UQ group, he focuses on uncertainty quantification, ensembles, and experimental design informed by rigorous theory and interdisciplinary applications. He completed a PhD in electrical engineering at Stony Brook, where his dissertation developed practical sequential Bayesian methods and ensemble approaches for online inference. Comfortable both in deep theory and hands-on engineering, he has taught AI/ML literacy, built production-facing educational software, and contributed to large-scale Bayesian analyses for physics experiments. Colleagues value his knack for translating foundational math into deployable inference tools that address real-world, time-varying problems.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Stony Brook University
English, Persian
Stackoverflow
101reputation
4kreached
3answers
0questions
Github Skills (35)
probabilistic-programming10
python10
animation10
mcmc10
pyro10
bayesian-inference10
numpy9
gpu9
jax9
jit8
tpu7
state-space7
cl6
visual-studio6
autograd6
Programming languages (7)
Github contributions (5)
BasisResearch/dynestyx
Feb 2026 - Jul 2026
Probabilistic programming for dynamical systems! Supports models with NumPyro, determinsitic & stochastic systems, discrete- and continuous-time systems, and more!
Contributions:1 release, 20 reviews, 14 PRs in 4 months
numpyroprobabilistic-programming
DanWaxman/AfterScouter-2.0
Mar 2016 - Jun 2020
Contributions:5 pushes, 1 branch in 4 years 3 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.