Summary
Sayan Samanta is a software developer with nine years of experience building scientific and engineering software, most recently applying applied machine learning and computational thermodynamics at Aspen Technology and now at OLI. He holds a PhD in Materials Science from Brown University where his research spanned cluster variation method, embedded atom models, and ML force-field generation using local structure descriptors and Gaussian processes. Sayan combines deep domain knowledge of VASP, CALPHAD, and force-field fitting with practical software engineering to solve nonlinear optimization and process-modeling challenges. He has taught graduate-level deep learning and mathematical methods, translating research insights into production-capable tools and published work in top journals. Based in Lowell, MA, he brings a rare blend of academic rigor and product-focused development, often turning complex thermodynamic theory into usable engineering software. Colleagues value his ability to bridge materials science, ML, and process simulation to deliver impactful solutions.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD) Materials Science, Doctor of Philosophy (PhD) Materials Science at Brown University
Indian Institute of Technology Bombay
Bachelor of Technology (B.Tech.) Metallurgical Engineering, Bachelor of Technology (B.Tech.) Metallurgical Engineering at National Institute of Technology Durgapur
English, Hindi, Bengali