Statistical machine learning for biology and healthcare

I am a PhD student in Statistics at Harvard University, advised by Marinka Zitnik. I develop statistical machine learning methods for problems in biology and healthcare.

My work connects data across biological scales, from molecules and cells to patients and health systems. I am especially interested in methods that support causal reasoning and intervention, rather than prediction alone. Current projects include 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 as a Rhodes Scholar and studied computer science and sociology at Stanford University.