Bamdev Mishra is a Principal Applied Scientist at Microsoft India in the Office India Intelligence team. He develops machine learning (ML) solutions for Kaizala, Office Lens, Operations, and Information Protection for Office365, to name a few. Before this, he worked on various ML problems in the retail domain including competitive price prediction, review abuse detection, and style recommendations.

Bamdev looks into problem domains that allow to use and build ML solutions for industrial applications. On the research side, his primary research interests include nonlinear optimization, stochastic learning, and matrix and tensor learning methods. He has published many technical papers in ML, NLP, and numerical optimization. He regularly reviews papers in many technical avenues and serves as Area Chair in NeurIPS, ICML, and AAAI. He is currently an Action Editor for the Transactions on Machine Learning Research (TMLR) journal.

He received his BTech and MTech degrees in Electrical Engineering from the Indian Institute of Technology Bombay (IIT Bombay), India, in 2010, and his Ph.D. degree from the University of Liège, Belgium, in 2014. He was a Postdoctoral Researcher at the University of Liège and a Visiting Research Associate at the University of Cambridge from 2014 to 2015.