I am currently looking for postdoc and industry positions.
I’m a PhD student at the Harvard-MIT Division of Health Sciences and Technology, advised by Polina Golland. Previously, I did my undergrad in Electrical Engineering and Computer Science at MIT and interned at Google.
I am interested in machine learning, computer vision, and inverse problems. My PhD focuses on medical image reconstruction, and I am broadly interested in any applications involving biology or physics-based modeling.
For full publication list, see Google Scholar.
Data Consistent Deep Rigid MRI Motion Correction
Using test-time model-based optimization on neural network outputs to produce fast, high quality, physics-consistent motion-corrected MRI reconstructions.
Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis
A general purpose neural network layer that combines frequency and image space features for correcting artifacts in Fourier imaging.
Paper Code Video