Jessica L. Zhou
Machine learning engineer, OLAB at NYU Langone Health
My work sits at the intersection of machine learning, biology, and medicine, and I’m particularly interested in making models trustworthy, explainable, and well calibrated.
Before joining OLAB, I was a postdoctoral researcher at Cold Spring Harbor Laboratory, where I developed and benchmarked uncertainty-aware neural networks for predicting genomic sequence function. I received a B.S. in Biomedical Engineering from the University of Southern California in 2017 and obtained my PhD in Bioinformatics at UC San Diego in 2023, where my research focused on analyzing single-cell RNA-seq and ATAC-seq data to study cocaine addiction and building statistical models for single-cell CRISPR screens that probe how enhancers regulate gene expression. During my PhD, I also spent time as a Fulbright Research Scholar in Berlin, Germany.
I speak English, Mandarin, and German.