About

I am an MD/PhD candidate interested in the molecular and cellular mechanisms underlying neuropsychiatric disease. My doctoral research integrates human genomic datasets, single-cell multi-omic sequencing, and computational modeling to identify mechanistic drivers of neuroimmune dysfunction in brain disorders.

My scientific training began in quantitative population genetics at the University of Chicago, where I developed spatial population genetic models and studied the distribution of deleterious rare alleles across geographic populations. I later expanded this work through pathway-based polygenic risk analyses and validation studies using biobank-scale datasets.

During my PhD training at the Mount Sinai Center for Disease Neurogenomics, I shifted toward functional genomics in brain disease. I led projects using one of the largest single-cell transcriptomic cohorts of postmortem human prefrontal cortex to characterize microglial heterogeneity in aging and Alzheimer’s disease. That work helped define disease-associated myeloid subtypes and neuroimmune cell-cell interaction patterns relevant to disease progression.

Alongside research, I have maintained sustained commitments to teaching, mentorship, ethics, and community-oriented clinical work. I have served in research leadership roles, taught across multiple settings, and supported trainee development through nonprofit and academic educational initiatives.

Broadly, I am interested in how science, medicine, technology, and institutions shape human life. In addition to academic writing, I hope to use this site to share practical tutorials and essays on topics such as computational tools, medical systems, and the social organization of expertise.