Mihir Mongia

Mihir Mongia is a well-versed researcher and scientist with extensive experience in machine learning and computer science. Mihir's professional journey includes a postdoctoral researcher position at Stanford University, focusing on computational health problems, and a current role as an AI Research Scientist at Meta, where the emphasis is on multimodal AI for wearables. Prior experience includes serving as an intern at Atalaya Capital Management and Research Assistant at SLAC National Accelerator Laboratory, utilizing deep learning and optimization methods. As a PhD candidate at Carnegie Mellon University, Mihir contributed significant research in computer science, including work as a researcher under Yoshua Bengio at the Montreal Institute for Learning Algorithms. Additionally, Mihir has held positions as a Senior Data Scientist at the Arnhold Institute and as a software and hardware engineer at Sensorfield. Education includes a PhD in Computer Science from Carnegie Mellon University, a Master’s in Operations Research and Computational Mathematics from Stanford University, and a Bachelor's in Electrical and Electronics Engineering from Rice University.