Assistant Professor of Industrial and Systems Engineering Andrés Gómez has been awarded a Google Research Scholar Grant for optimization research that will address modern statistical and machine learning problems.
The Google Research Scholar Program aims to support early-career professors who are pursuing cutting-edge research in fields relevant to Google.
Google awarded Gómez a $35,000 grant for his proposal, “Convexification of mixed-integer quadratic optimization problems.”
The research will enhance the understanding of the sophisticated optimization problems—specifically, the fundamental structure of nonlinear discrete optimization problems, which hampers the design of algorithms as it is not currently understood. Gómez’s research aims to characterize this structure and illustrate how to leverage this structural knowledge to devise better algorithms.
Gómez, who joined the Daniel J. Epstein Department of Industrial and Systems Engineering in 2019, was also recently awarded a $150,000 National Science Foundation Grant to examine spatio-temporal graphical models, which help with the understanding of massive-scale modern systems.