Current:
- Research at OpenAI, mostly working on post-training.
Previous:
- MIT CSAIL CS PhD
- Worked on neural network parameter spaces / loss landscapes, symmetries in machine learning, and various types of structure in machine learning.
- Advised by Stefanie Jegelka, and also working closely with Haggai Maron
- Part-time ML scientist at Liquid AI
- Mostly working on post-training, but involved in many parts of the LLM pipeline.
- Organizer of the Boston Symmetry Group
- Research intern at NVIDIA, Summer 2023
- Organizer of the first Learning on Graphs Conference: LoG 2022
- Research intern at Meta AI, Summer 2022
- Undergrad in Math and CS at Cornell University
CV: My academic CV can be found here.
Contact: My contact information can be found here.