I like:
- probabilistic machine learning (variational inference, Markov chain Monte Carlo)
- generative models (diffusion, normalizing flows)
- better understanding deep learning (via generalization, scaling, efficency)
I also like open source code, hacking on things, and adventure.
π Columbia University, Applied Math
π New York, NY