Michael Grant

Vice President of Services, Anaconda

Michael is a computational mathematician specializing in optimization, signal processing, and simulation, and a contributor in classroom, research, and commercial settings. He assists clients in the development of advanced Python data science applications using Anaconda Distribution. As a recognized subject matter expert in convex optimization, Michael’s open source modeling tools for optimization have twice been recognized with awards from the International Society for Mathematical Programming.