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Willie Neiswanger

Assistant Professor of Computer Science at the University of Southern California

Willie Neiswanger is an Assistant Professor of Computer Science at the University of Southern California (USC), working in the Viterbi School and the School of Advanced Computing.1 He specializes in machine learning, focusing on efficient optimization and experimental design in resource-limited, real-world settings.3

Education and Career

  • PhD in Machine Learning from Carnegie Mellon University (2012-2019)3
  • Bachelor's degree in Applied Mathematics and Computer Science from Columbia University (2008-2012)3
  • Postdoctoral researcher at Stanford University (September 2020 - December 2023)3
  • Joined USC as an Assistant Professor in January 20242

Research Interests

Neiswanger's work spans several areas:

  • Active learning
  • Uncertainty quantification
  • Bayesian decision making
  • Reinforcement learning
  • Generative AI
  • AI for science14

He applies these methods to solve problems in science and engineering, particularly in physical sciences and machine learning systems.1

Achievements and Contributions

  • Develops and maintains software libraries for multilevel optimization, uncertainty quantification, AutoML, and Bayesian optimization1
  • Has worked on distributed algorithms for scalable machine learning1
  • Actively recruiting PhD students and postdocs for his new lab at USC2

Willie Neiswanger's research aims to advance the field of machine learning and its applications in real-world scenarios, particularly where resources are limited and efficiency is crucial.

Highlights

Willie Neiswanger - Machine Learning at SLAC - Stanford University
Jan 1 · openreview.net
Willie Neiswanger | OpenReview
Nov 15 · x.com
Willie Neiswanger - X
Willie Neiswanger - X
‪Willie Neiswanger‬ - ‪Google Scholar‬
Willie Neiswanger

Related Questions

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Willie Neiswanger
Willie Neiswanger, photo 1
Willie Neiswanger, photo 2
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Location

Los Angeles, California, United States