Mike Diaz
Data Scientist
Expertise:
Geospatial climate data, geospatial and geotemporal data manipulation, machine learning
BIO:
Mike is a Univerisity of Minnesota alumnus and, in 2018, graduated with a bachelor's degree in Computer Engineering. During his undergraduate years, Mike was a Distributed Robotics Lab undergraduate research fellow and an active member of the local IEEE chapter. Mike has a background in climate forecasting and its utilization in commodity arbitrage and financial dividends. In addition to his work with GEMS, Mike is a Computer Science M.S. student, UMN Esports volunteer, and indoor tropical houseplant enthusiast.