I am a postdoc at UC Berkeley with Laura Waller. I work on applications of machine learning and computer vision to inverse problems in imaging.
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.
Medical Imaging with Deep Learning, 2023 (Oral; Best Oral Award).
Paper Code Video MIT News
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.
Machine Learning for Biomedical Imaging, 2022.
Paper Code Video