Diego Kleiman is a PhD candidate in Biophysics at the University of Illinois Urbana-Champaign who applies computational and machine-learning methods to uncover the physical principles governing biological systems. With nine years of research experience beginning from undergraduate projects at NYU Abu Dhabi and NYU Tandon, he has published in the Journal of Chemical Theory and Computation and presented at ACS meetings. He combines a strong foundation in physics and computer science with practical skills in Python, C++, data analysis, and visualization, and has pursued advanced coursework in neural networks and deep learning. Diego’s work bridges theory and computation, turning complex biophysical questions into reproducible code and interpretable models. He was recognized for academic excellence with NYUAD’s Founders' Day Award, reflecting both scholarly rigor and cross-disciplinary curiosity.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at New York University Abu Dhabi
Doctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at University of Illinois Urbana-Champaign
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