Rishi Gurnani
AI For Chemistry at The Coca-Cola Company
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolRishi Gurnani is an AI-for-chemistry leader with eight years of experience applying deep learning and materials science to accelerate R&D pipelines, now filling Coca‑Cola’s flavor and functional-ingredient roadmap. He holds a PhD in Materials Science from Georgia Tech (4.0 GPA) and combines rigorous academic research—award-winning thesis work on polymeric materials—with hands-on roles building AI-driven software and algorithms for the natural sciences. As Director of Software Engineering & Algorithms at Matmerize he translated polymer science into production tools, and his earlier research at UC Berkeley and Berkeley Lab brought ML to electronic-property prediction and molecular dynamics. Comfortable bridging lab and product, he uniquely pairs domain expertise in polymers and energy materials with practical ML/engineering experience to move ideas from simulation to deliverable R&D assets.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Materials Science, Bachelor of Science (B.S.), Materials Science at University of California, BerkeleyDoctor of Philosophy - PhD, Materials Science, 4.0 / 4.0, Doctor of Philosophy - PhD, Materials Science, 4.0 / 4.0 at Georgia Institute of Technology
Spanish, English
Github Skills (65)
expressions9
numba8
polymer8
python8
graph-convolutional-networks8
convolution8
ndarray8
pytorch8
ticker8
linear-algebra8
graph-neural-network8
stock-trading8
interpolation8
materials-informatics8
blas8
Programming languages (2)
Github contributions (5)
rishigurnani/iclr19-graph2graph
Apr 2020 - Feb 2025
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)
Contributions:18 pushes in 4 years 10 months
pytorchiclrmultimodal-learningtranslationoptimization
rishigurnani/polygnn-ls
Sep 2022 - Feb 2025
Fork of polygnn for CS8803 Limited Supervision
Contributions:5 PRs, 79 pushes, 7 branches in 2 years 5 months
supervision
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