Greetings! I am a 4th year Computer Science PhD student at MIT fortunate enough to be advised by Professors Adrian Dalca and John Guttag as a part of the Clinical and Applied Machine Learning (CAML) Group. I am interested in problems lying at the core of machine learning and computer vision, often with applications to healthcare. I'm very involved in the ML community here at MIT, as a head TA for our Deep Learning course (over 600 students!) and a co-organizer of ML Tea.

My work has been supported by the NSF Graduate Research Fellowship.

Previously, I studied Computer Science at Cornell University advised by Mert Sabuncu, where I was a Merril Presidential Scholar for the Computer Science department and a Tanner-Dean Scholar for the School of Arts and Sciences.

I've had the chance to also intern at some very cool places doing cool things!

• Waymo - Inference-time embedding flexbility for 3D object detection.
• IBM - Evaluating relational capabilities of Vision-Language models.
• ASAPP - Exploring alternative state-space models for long-range sequence modeling.
• MILA - Uncertainty quantification for molecule discovery.
• Siemens Healthineers - Biomedical imaging for lung diagnostics.

If you are interested in collaborating, please do reach out!