PhD Student at MIT CSAIL
32 Vassar St, 32D-474
Cambridge, MA, 02139
I’m a PhD student at the Harvard-MIT Division of Health Sciences and Technology. I work in the Medical Vision Group with Polina Golland. Previously, I did my undergrad in Electrical Engineering and Computer Science at MIT.
My primary research interests are in machine learning, computer vision, and signal processing applied to medical data, especially medical image reconstruction and analysis.
My work is supported by the NIH Neuroimaging Training Program, an NSF Graduate Research Fellowship, and a Google PhD Fellowship.
I also run the MEMP Application Assistance Program, to assist students applying to the HST PhD program. If you have questions about that process, that site is the best place to sign up for help.
Joint Frequency and Image Space Learning for Fourier Imaging
A neural network layer that combines frequency- and image-space features for correcting artifacts in Fourier imaging.
Human & Model Explanations for Skin Condition Classification
A comparison between skin disease classification model explanations and human-identified regions of interest, in order to identify unintuitive classifications.
Designing Biomimetic Prosthesis Controllers for Walking
Characterizing quadruped locomotion and developing a biomimetic controller for prosthesis-aided walking, yielding modeled gait parameters similar to biological values.
2nd Place Oral Presentation, EECSCon 2016.