I am a Research Associate in biostatistics at the University of Pennsylvania. My research focuses on the development of novel machine learning algorithms for solving scientific problems in biomedicine. Methodologically, I specialize in deep learning, computer vision, and uncertainty quantification. For applications, my interests include medical imaging, digital pathology, and spatial multi-omics. I earned a PhD in Biostatistics and Scientific Computing from the University of Michigan under the supervision of Jian Kang and Seunggeun Lee. For more information, see my curriculum vitae.
PhD in Biostatistics & Scientific Computing, 2021
University of Michigan
BS in Mathematics, 2016