Hometown: Portland, Oregon
Harvard University

Student Page: https://scholar.harvard.edu/wyuan

Research: William's research is focused on constructing deep learning models for investigating the intersections between histopathology and genomics for diagnostics and hypothesis creation in cancer biology. He is constructing convolutional neural network-based classifiers for biopsy slide images can allow for rapid and accurate determination of cancerous vs. benign tissue, cell morphology, genomic status, or patient subtype. He is particularly interested in the generalizability of these models across different cancer and tissue types.

William is a second year graduate student advised by Isaac Kohane in the Department of Biomedical Informatics at Harvard Medical School. He recieved his Masters in Chemistry from the University of Oxford. His research involves application of deep learning and big data techniques towards cancer biology and precision medicine.