Matt Wytock

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I am a postdoc at Stanford with Stephen Boyd and Arun Majumdar. My research focuses on large-scale optimization, with applications in the next-generation electrical grid.

In energy, I am interested in data-driven solutions promoting large-scale renewables and renewable integration in the grid.

In optimization, I am interested in practical methods for large problems. Along these lines, a major part of my thesis was Epsilon, a general convex programming framework built on fast proximal and linear operators. The high-level goal is to develop a new class of optimization tools for rapid development of machine learning models and other applications.

Previously, I worked at Google for 10 years as a technical lead on projects in search, ads and several new initiatives. I received my PhD in Machine Learning from CMU.