Summary
Rodrigo Nemmen is an associate professor and computational astrophysicist with 12 years of experience turning complex physical systems into fast, reliable predictive models. From NASA and Stanford to leading the Black Hole Group at Universidade de São Paulo, he has built GPU-accelerated solvers and deep learning pipelines that speed simulations by orders of magnitude and enable Bayesian inference at scale. His work—featured by Science, BBC and major Brazilian news—combines rigorous uncertainty quantification, neural operators, and practical deployment of ML for real-time forecasting. A hands-on team leader and open-science developer (author of widely used astronomical regression tools), he bridges theoretical math and production-grade Python/CUDA engineering. Outside the lab he writes, rides motorcycles, and once represented his state in disk throwing—an apt precursor to researching gas disks around black holes.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Astrophysics, Doctor of Philosophy (PhD), Astrophysics at Universidade Federal do Rio Grande do Sul
Spanish, English, Portuguese