I’m a research engineer at Facebook AI Research. My background is in medical signal and image processing. I’ve worked on projects involving optical, X-ray CT, and MR imaging systems. At FAIR my work has turned more towards software. I’m interested in building efficient, robust systems that have scaling potential. In my free time I like to ride my bike around New York City, play video games, and read books about history.
I got my bachelor’s degree in biomedical engineering from Purdue University in 2011. After that, I spent 2011-2016 at the University of Michigan working on my PhD on MRI reconstruction methods under the supervision of Professors Jeff Fessler and Doug Noll. In 2016 I began a Postdoctoral Fellowship at the NYU School of Medicine working on reconstruction methods for a novel interrupted-beam X-ray CT system with Professor Ricardo Otazo. Beginning in 2018, I was promoted to Research Scientist and started to work on deep learning for MRI with Professor Florian Knoll. In February of 2020 I joined FAIR as a Research Engineer, where I helped lead initiatives on fastMRI and COVID Deterioration Prediction.