Daniel Montemayor is a Senior Computational Scientist with over a decade of multidisciplinary experience spanning physical chemistry, quantum mechanics, and machine learning, currently at Altos Labs. He designs and implements simulation software for model dynamics, having authored and led development of tools like Fortified and NonAdMD that push non-adiabatic and ML-enabled chemical modeling. His career blends high-performance computing achievements—record-setting microsecond molecular dynamics on ASIC clusters—with applied multi-omic ML for biomedical problems such as kidney disease. An experienced mentor and educator, he has led workshops, lectured across levels, and secured grant funding from national labs and international bodies. Colleagues rely on him for bridging deep theoretical methods with robust, production-grade scientific software.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Chemistry, 3.72, Doctor of Philosophy (Ph.D.), Chemistry, 3.72 at Boston University
Introductory workshop teaching python for Data Science and Biomedical Machine Learning
Contributions:28 commits, 8 PRs, 22 pushes in 11 months
data-analysispythonsciencedata-scienceteaching
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Daniel Montemayor - Senior Computational Scientist II