Yudhajit Pal is a Data Scientist with 9 years of experience applying ML and computational chemistry to accelerate materials and enzyme discovery. He holds a PhD in Chemical Engineering and moved from academic postdoctoral work at UW–Madison—where he combined hybrid DFT and ML to boost OLED prediction accuracy and speed—to industry roles at Bayer and dsm-firmenich building production ML for enzyme identification and formula creation. His work has delivered measurable gains (3x improvement in enzyme hit rates and 1000x expanded search space) and productionized models in AWS, bridging hypothesis-driven science with scalable engineering. He helped develop ChemHTPS, an HPC-enabled screening ecosystem for virtual compound discovery, showing a long-standing interest in tooling that speeds R&D. Based in New Jersey, he pairs deep domain expertise in chemistry with practical ML deployment experience, often translating complex quantum calculations into actionable screening workflows.
9 years of coding experience
9 years of employment as a software developer
Indian Institute of Technology Kanpur
Doctor of Philosophy - PhD Chemical Engineering, Doctor of Philosophy - PhD Chemical Engineering at University at Buffalo
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