Statistical machine learning for biology and healthcare
I am a PhD student in Statistics at Harvard University, advised by Marinka Zitnik.
My research connects data across biological scales, from molecules and cells to patients and health systems. Current projects span distribution-valued learning, single-cell perturbation modeling, transcriptomic deconvolution, and treatment-effect estimation from electronic health records.
Before Harvard, I completed an MSc in Statistics at the University of Oxford and studied computer science and sociology at Stanford University.
Selected publications
View allDistribution-Conditioned Transport
arXiv:2603.04736 2026
Count Bridges enable Modeling and Deconvolving Transcriptomic Data
International Conference on Learning Representations 2026
Generative Distribution Embeddings
Advances in Neural Information Processing Systems 2025