I am an assistant professor in the Computer Science and Engineering Department at the University of Connecticut. I graduated from the University of Rhode Island with B.S. degrees in Computer Engineering and Computer Science, received my Ph.D. in Computer Science from Brown University, advised by Professor Sorin Istrail, and completed my postdoctoral work at Princeton University with Professor Barbara Engelhardt. My research aims to develop probabilistic machine learning models, combinatorial algorithms, and scalable inference methods to better understand high-dimensional data, particularly genomics and genetics data applied to complex disease.
I am looking for motivated PhD students interested in research at the intersection of probabilistic machine learning and algorithms and applying this work to application areas including genomics, transcriptomics, population genetics, sociology, and law.