Andre Wibisono in

Andre Wibisono

Assistant Professor at Yale University
📍 United States

Andre Wibisono is an Assistant Professor at Yale Universitys Department of Computer Science, with a secondary appointment in Statistics & Data Science. His research focuses on designing and analyzing algorithms for machine learning, specifically in optimization, sampling, and game theory. He earned his Ph. D. from UC Berkeley and his M. Eng. from MIT.

There is no publicly available information about Andres personal life, hobbies, or non-work-related activities. The available data focuses entirely on his academic and professional achievements in the field of computer science and machine learning.

He received an NSF CAREER Award to develop a new framework for algorithm design, a significant early-career achievement.

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Experience
9 Years
Current Role
Assistant Professor
Job Level
Junior
Location
United States
Personality Overview
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Priorities

Topics Andre cares about

Machine Learning Algorithms
His primary research interest is the design and analysis of algorithms for machine learning, with numerous publications on the topic.
Mathematical Optimization
A core part of his work involves creating novel optimization methods, highlighted in his highly cited paper, "A variational perspective on accelerated methods in optimization. "
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Career

Work history

1-2021
Assistant Professor
Yale University
7-2018 - 1-2021
Postdoctoral Researcher
Georgia Institute of Technology
7-2016 - 6-2018
Postdoctoral Researcher
University of Wisconsin-Madison
5-2012 - 8-2012
Software Engineering Intern
Google
6-2008 - 8-2008
Summer Research Analyst
Bain Capital
In the press

Media appearances

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Education
2010 - 2016
Doctor of Philosophy (Ph.D.)
University of California, Berkeley
2009 - 2010
MEng
Massachusetts Institute of Technology
Social presence
in

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