Hello, I’m Alex!
Currently, I’m an undergraduate at Caltech (‘22) studying computer science and mathematics.
See here for my CV.
I’m interested in machine learning for social good; my goal is to design algorithms that are better aligned with human intent. I like working at the intersection of machine learning, statistics, and applied math, especially on problems with immediate real-world consequences.
I’ve been fortunate to work on interesting projects with awesome people:
- Effects of reward mis-specification in RL with Jacob Steinhardt and Kush Bhatia.
- Compositional generalization of Transformers with Anima Anandkumar, Ryan Prenger, and Saad Godil.
- Adversarial training for RL agents that operate power networks with Yuanyuan Shi and Huan Zhang.
- Opinion formation on networks with Mason Porter, Franca Hoffmann, and Heather Zinn Brooks.
You can email me at aypan [AT] caltech [DOT] edu.