Amir Shahmoradi
Scientist at Los Alamos National Laboratory
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolAmir Shahmoradi is an associate professor in the Division of Data Science with 12 years of interdisciplinary experience applying physics, computational methods, and statistical modeling to problems in high-energy physics, astrophysics, biomedical big data, and molecular evolution. He blends deep domain expertise in theoretical and computational physics with hands-on skills in high-performance computing, Bayesian multiscale modeling, Monte Carlo methods, and molecular dynamics to drive research from code optimization to translational biomedical analytics. His career spans academia and medical research centers, contributing to ischemic stroke studies, viral evolution, protein dynamics, and performance modernization of scientific codes. Based in Austin, he is as comfortable teaching scientific computing and Python/R as he is developing multilevel Bayesian techniques, bringing a rare combination of physics intuition and data-science rigor to complex, multi-scale problems.
13 years of coding experience
10 years of employment as a software developer
MSc High Energy Astrophysics, MSc High Energy Astrophysics at Michigan Technological UniversityPhD Physics ( Biophysical / Plasma sciences ), PhD Physics ( Biophysical / Plasma sciences ) at The University of Texas at AustinBSc High Energy Physics, BSc High Energy Physics at Sharif University of Technology
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (72)
python10
mcmc10
openmp10
bayesian-methods10
cpp10
monte-carlo10
bayesian-inference10
markov-chain10
machine-learning-algorithms10
matlab10
sampling10
idris10
bayesian10
caf10
bayesian-statistics10
Programming languages (8)
Github contributions (5)
shahmoradi/IDS2022S
Jan 2022 - Nov 2025
Contributions:23 pushes, 1 branch in 3 years 10 months
shahmoradi/cordiv
Jul 2014 - Jan 2017
Contributions:179 commits, 18 pushes in 2 years 6 months
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