About
I am a 5th year PhD candidate in the Bioinformatics and Integrative Genomics (BIG) program through the Department of Biomedical Informatics (DBMI) at Harvard Medical School. I am fortunate to be advised by Dr. Fei Chen, who is a core institute member at the Broad Institute.
My research is focused on using computer vision and machine learning to study “spatial biology” i.e. the study of molecules and cells in their native spatial context. I am particularly interested in understanding how cells process information to achieve structured spatial organization and how this organization is disrupted in disease. Compared to other domains such as natural images and language, biological data is expensive to collect and often exhibits low signal-to-noise ratios. My research is therefore driven by a philosophy of building scalable, data-efficient model architectures that reflect biologically meaningful inductive biases.
Previously, I received my B.S. in Biomedical Engineering from Johns Hopkins University in 2021. I am a recipient of the National Science Foundation Graduate Research Fellowship Program (GRFP). I am also affiliated with the Cellarium Lab at the Broad Institute, where I worked with Dr. Mehrtash Babadi from 2022-2025. During Summer 2025, I was a Research Intern on the BioML team at Microsoft Research New England, where I worked with Dr. Alex Lu.