I am an assistant attending computer scientist at Memorial Sloan Kettering Cancer Center with dual appointments in the Departments of Medical Physics and Pathology. I am also an adjunct assistant professor in the Department of Applied Mathematics & Statistics at Stony Brook University.
I work at the intersection of computer vision, computer graphics, bioinformatics, and medical image analysis. My research is focused on multimodal and multiscale analysis of biomedical data, i.e., combining radiology/surgery (macroscale), pathology (mesoscale), and genomics/proteomics/metabolomics (microscale) to improve patient outcomes. I use advanced mathematics — inspired by differential geometry, topology, and probability theory — and machine learning to drive this analysis. I received my PhD in computer science in 2017 from Stony Brook University and completed a postdoctoral fellowship at MSK.