Nadav Brandes

Nadav Brandes is an Assistant Professor in the Department of Biochemistry and Molecular Pharmacology at New York University Grossman School of Medicine, and a member of the Center for Human Genetics & Genomics. His research integrates artificial intelligence (AI) with human genomics to predict disease variants, optimize therapeutics, and analyze genetic effects in non-coding regions.

Education: PhD from Hebrew University of Jerusalem, followed by postdoctoral training at UCSF under Jimmie Ye.

Research focuses on AI-driven genomic analysis, including large language models for proteins (e.g., ProteinBERT), proteome-wide association studies (PWAS), and deep learning for variant effect prediction. His lab also explores single-cell genomics and CRISPR-based therapies.

Notable articles include work on genome-wide variant predictions (Nature Genetics, 2023) and CRISPR-engineered T-cell stability (Cell, 2023). His team addresses challenges in rare variant analysis, functional genomics, and cancer predisposition mechanisms.

Labs/Teams: Brandes Lab at NYU, affiliated with both the School of Medicine and the Courant Institute of Mathematical Sciences. Open to hiring students, postdocs, and staff.