Mohak Shah is a technology executive and technologist with an established history of leading high-impact initiatives in AI, IoT, digital transformation, and building data-driven businesses and strategies. He is deeply passionate about responsible development, introduction, adoption, and integration of AI capabilities in industry and society at large. His experience in leading technology initiatives spans a broad range of verticals including autonomous driving, automotive, aviation, energy and healthcare leading diverse teams from research, software, and businesses.
As a machine learning and AI scientist, Mohak has developed novel technologies with high impact business applications. He is the author of “Evaluating Learning Algorithms: A Classification Perspective” (Cambridge), and has published more than 45 research articles, in top conferences and journals in the analytics space, and patented technologies. Mohak regularly contributes to the community through participation in scientific panels, organizing committees, review committees, and social impact programs. He was the General Chair of ACM SIGKDD 2016 conference. He also holds an adjunct faculty position with the University of Illinois (Chicago).