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Johns Hopkins University
Electrical Engineering, MS•  September 2017 - December 2019
Coursework in machine learning, deep learning, programming language design/theory, medical image analysis, Bayesian (parametric and nonparametric) statistics, causal inference, statistical pattern recognition theory, high-dimensional statistics, compressed sensing, approximation algorithms
University of Texas at Austin, Austin
Electrical Engineering, BS•  January 2013 - December 2016
Coursework in digital signal processing, image and video processing, genomic signal processing, stochastic processes, real-time digital signal processing, algorithms, (measure-theoretic) probability
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