Summary
Dharmendra Pant is a materials and data scientist with eight years of experience combining DFT, machine learning, and materials informatics to accelerate discovery and property optimization for energy and structural applications. He has translated first-principles insights into high-performing predictive models (R² > 0.95) for electronic, mechanical, and magnetic properties, and built ensemble ML workflows that reduce reliance on costly DFT calculations. His work explains counterintuitive alloy strengthening in refractory high-entropy alloys and revealed tunable ferromagnetism in twisted bilayer graphene nanoflakes, demonstrating a knack for connecting fundamental physics to practical design rules. Now a Data Scientist II in Greenville, SC, he applies academic-grade modeling rigor to industry problems while maintaining an active research footprint across peer-reviewed publications.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Science and Engineering , Doctor of Philosophy - PhD, Computational Science and Engineering at Michigan Technological University
Master's degree, Physics, Master's degree, Physics at The University of Akron