Farhad Ramezanghorbani
Senior Research Scientist, Drug Discovery AI at NVIDIA
Denver, Colorado, United States
Summary
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Senior🎓
Top SchoolFarhad Ramezanghorbani is a Senior Research Scientist at NVIDIA with a decade of experience applying physical chemistry and advanced machine learning to accelerate drug discovery. He holds a Ph.D. in Physical Chemistry and specializes in designing neural network architectures for multi-task prediction of quantum mechanical molecular properties, bridging theory and practical drug-design workflows. Previously a Senior Scientist at Schrödinger and a contributor to academic and software-focused fellowships, he combines industry-grade ML engineering with deep domain knowledge in computational chemistry. Based in Denver, he is known for translating complex QM insights into scalable models that improve virtual screening and lead optimization—an uncommon blend of rigorous academic training and production-focused impact.
10 years of coding experience
2 years of employment as a software developer
Master of Science (M.Sc.), Computational Science and Engineering, Master of Science (M.Sc.), Computational Science and Engineering at Koç ÜniversitesiDoctor of Philosophy (PhD), Physical Chemistry, Doctor of Philosophy (PhD), Physical Chemistry at University of FloridaBachelor of Science (B.Sc.), Physics, Bachelor of Science (B.Sc.), Physics at Sharif University of Technology
English, Persian
Github Skills (56)
speaker-diarization10
speech-to-text10
machine-translation10
drug-discovery10
pytorch10
quantum-mechanics10
python10
acceleration10
machine-learning10
speech-synthesis10
multimodal10
text-normalization10
large-language-models10
nmt10
numpy10
Programming languages (6)
Github contributions (5)
farhadrgh/.scripts
Jun 2017 - Jan 2018
Contributions:154 pushes, 3 branches in 7 months
farhadrgh/SQL
May 2017 - Oct 2019
Contributions:1 PR, 3 pushes, 1 branch in 2 years 5 months
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