I am an MD/PhD student at Harvard Medical School and the Massachusetts Institute of Technology. Currently, I am pursuing a Ph.D. in the Biomedical Informatics.

Broadly, I am interested in statistical genetics, functional genomics, and neuroscience. My research has focused on building novel analytical methods for genomic and neuroimaging datasets, and the application of these tools to neuropsychiatric disease, neurodevelopmental disorders, and normative variation in the general population.

I work in the research groups of Elise Robinson and Luke O’Connor. I also was an intern with the Biomedical Machine Learning group at Microsoft Research New England.

Key papers

Transcriptome-wide characterization of genetic perturbations. bioRxiv (2024)

• Tweetorial

Polygenic architecture of rare coding variation across 394,783 exomes. Nature (2023). Co-led with Daniel Weiner.

• News and Views piece by Luke Evans and Pamela Romero Villela

• Author Q&A from Broad Institute

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Morphological integration of the human brain across adolescence and adulthood. Proceedings of the National Academy of Sciences (2021).

• Research Highlight from the National Institute of Mental Health

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For more details on my background and work, please see my CV.