Summary
Alok Kumar is a computational chemist and graduate student with eight years of research experience at the intersection of chemistry, machine learning, and quantum computing. Currently pursuing a PhD at the University of Pennsylvania and continuing research in the Subotnik Lab at Princeton, he develops theoretical and computational methods for molecular systems spanning classical simulations to NISQ-era quantum algorithms. His background includes hands-on analog quantum simulation work and DFT studies of 2D photocatalysts from visiting roles at the University of Sydney, reflecting both experimental-minded modeling and algorithmic innovation. Trained via a BS+MS dual degree at IIT Bombay, he brings strong foundations in chemistry combined with practical coding and computational tool development. Based in New Jersey, he bridges academia and emerging quantum computing platforms, often focusing on scalable approaches that translate theory into near-term quantum experiments. Notably, his profile reflects a blend of academic rigor and interdisciplinary collaboration across top institutions rather than a single traditional academic path.
8 years of coding experience
Indian Institute of Technology Bombay