Michael Grant

Michael Grant is an internationally recognized expert in convex optimization and computational mathematics, with a strong background in data analysis.

His educational journey includes a Ph.D. and an MS from Stanford University, a BS from The University of Texas at Austin, and studies at Lejeune High School and North Carolina School of Science and Mathematics.

With a diverse professional history, Michael has held key positions such as Vice President at Anaconda, Inc., Principal at CVX Research, Inc., and various roles at Anaconda, Inc. including Senior Director, Director of Technical Services, Senior Solutions Architect.

Prior to his current roles, he has also been associated with organizations like Tune Energy, California Institute of Technology, Cardinal Optimization Inc., and held positions as a Guest Lecturer at The University of Texas at Austin and a Research Associate at Stanford University.

Michael has also contributed as a Chief Engineer, Staff Scientist, and Consulting Assistant Professor, demonstrating both deep expertise and versatility in his career.

His early career saw him serve as a Wireless Algorithm Architect at Cisco Systems, Inc. and Clarity Wireless, Inc., Co-Founder of Numerical Technologies, Inc., and in various technical roles at companies like Airgo Networks, Motorola, Inc., and Integrated Systems, Inc.

Throughout his professional journey, Michael Grant has showcased a consistent dedication to advancing mathematical and computational models across various domains and implementation levels.