Rodrigo Nemmen's website

Head of Research & ML | Astrophysicist | Professor

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IAG, University of Sao Paulo

Previously: KIPAC, Stanford

As an astrophysicist, I’ve spent 14 years unraveling the mysteries of black holes and decoding complex astronomical phenomena. My journey has taken me from NASA to Stanford and University of Sao Paulo (USP), where I’ve honed my skills in problem solving, computational models and scientific data exploration (satellite-based). At USP, I’ve had the privilege of leading diverse teams and mentoring the next generation of scientists.

My work has been featured in BBC, NASA, Science, Ars Technica, and on Fantástico and Jornal Nacional, Brazil’s two most-watched news programs. These experiences have allowed me to communicate complex scientific ideas to a global audience and reflect the broader impact of my research.

Now, I am applying my expertise to advance predictive modeling and use machine learning algorithms in novel applications. My goal is to continue bridging the gap between cutting-edge research and practical solutions, harnessing the power of data and AI to shape our understanding of the universe and our world. I am excited to explore new frontiers where my unique blend of scientific insight and technical skills can make a significant impact.

In my free time, I read, write and ride motorcycles. I once represented my home state in a disk throwing competition, and, ironically, ended up researching gas disks around black holes.

news

Dec 05, 2024 Astrophysics Distinguished Seminar at Los Alamos National Laboratory🌵
Oct 29, 2024 Data seminar at Lawrence Berkeley National Laboratory
Oct 11, 2024 Stanford Causal Science Conference

latest posts

selected publications

  1. arXiv
    Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application
    Roberta Duarte, Rodrigo Nemmen, and Reinaldo Santos-Lima
    Preprint available here , 2025
  2. MNRAS
    Emergence of hot corona and truncated disc in simulations of accreting stellar mass black holes
    Rodrigo Nemmen, Artur Vemado, Ivan Almeida, and 2 more authors
    Mon. Not. R. Astron. Soc., Jun 2024
  3. MNRAS
    Deep learning Bayesian inference for low-luminosity active galactic nuclei spectra
    Ivan Almeida, Roberta Duarte, and Rodrigo Nemmen
    Mon. Not. R. Astron. Soc., Feb 2022