I am a Ph.D. candidate in the Department of Computational Mathematics, Science, and Engineering (CMSE) at Michigan State university. I am interested in developing predictive models at the intersection of mathematics, computation, and data. I have developed mathematical and machine learned models for cardiac perfusion estimation and radiation dose optimization. My current research focuses on interpretable artificial intelligence for medical diagnosis, specifically, feature and input ranking methods for deep neural networks.

I am a part of the MIDI Lab working under the mentorship of Prof. Adam Alessio.

View my CV

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