Office Levine 506
Email exwong@cis
Lab Blog debugml.github.io

I am an assistant professor at the Department of Computer and Information Science at the University of Pennsylvania, working on debugging machine learning and making systems actually do what we want them to do. I’m also a part of the ASSET Center on safe, explainable, and trustworthy AI systems. Previously, I completed my PhD at CMU advised by Zico Kolter, and did a postdoc with Aleksander Madry.

PhD applicants: If you’re interested, you will need to

  1. Apply to the CIS department
  2. Select me as a potential advisor in your application.

Undergraduates/masters students: If you are a UPenn student and are interested in doing independent machine learning research, then I would recommend (1) take CIS 5200 (2) read this blog post. I would strongly recommend you take my special topics course, 3990-002 Mathematics for Machine Learning so that you are prepared for the mathematics behind the research. If you are not at UPenn, I do not currently have opportunities for external students.

In Fall 2023, I will be teaching a special topics course 3990-002 Mathematics for Machine Learning. See course website here. If you’re interested in doing advanced research or graduate coursework in AI/machine learning but have taken only the core math requirements of the CS degree, then this course is for you.

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