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Jenny Kaufmann

Jenny Kaufmann

I am a final-year math PhD student at Harvard. I am advised by Virginia Vassilevska Williams and Madhu Sudan, and I also work with the Harvard ML Foundations research group under the supervision of Boaz Barak. I am supported by an NSF Graduate Research Fellowship.

My research spans theoretical computer science (graph algorithms and complexity theory) and machine learning, with a focus on out-of-distribution generalization, interpretability, and ML for good. I write The AI Interpreter, a blog about the impact of AI on society.

jkaufmann@math.harvard.edu

Research

Machine Learning

Graph Theory & Algorithms

Teaching & Outreach

Harvard University

  • Math 21B: Linear Algebra and Differential Equations (Spring 2024)
  • Math 1B: Calculus, Series, and Differential Equations (Fall 2020)
  • "Math Includes" Mentorship Program (Founder)

Other

Selected Talks