Current:
- 4th year EECS PhD (started in 2021) student at MIT CSAIL
- Advised by Stefanie Jegelka, and also working closely with Haggai Maron
- Supported by a National Science Foundation Graduate Fellowship (NSF GRFP)
- 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
Previous:
- 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
Research Interests: I like working with neural network parameter spaces / loss landscapes, symmetries in machine learning, and various types of structure in machine learning.
CV: My academic CV can be found here.
Contact: My contact information can be found here.