Summary
Adarsh Barik is an assistant professor at IIT Delhi with 11 years of experience at the intersection of theory and practice in optimization, machine learning, high-dimensional statistics, and information theory. He completed a Ph.D. in Computer Science at Purdue after training in aerospace engineering at IIT Madras, giving him a rare blend of rigorous theoretical foundations and engineering intuition. His recent postdoctoral work at the National University of Singapore focused on computational and statistical aspects of learning, while earlier industry roles at FlexTrade and Honeywell grounded him in production software development. Adarsh’s research emphasizes provable algorithms for high-dimensional problems and the computational limits of learning, making his work relevant to both academics and applied ML teams. Colleagues note his ability to translate complex theoretical results into practical insights for algorithm design and evaluation. Based in Delhi, he brings an interdisciplinary perspective that links aerospace-trained systems thinking with cutting-edge theoretical machine learning.
11 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Purdue University
English, Hindi, chhattisgarhi