Nadav Brandes, PhD
Assistant Professor
Center for Human Genetics and Genomics
New York University Grossman School of Medicine
The Brandes Lab at New York University uses AI to understand our genomes and fight disease.
We are developing and using genomic large language models as global predictors of biological function to identify disease-causing mutations, prediagnose and treat disease, and better understand our genomes.
Genome-wide prediction of disease variant effects with a deep protein language model. Nature Genetics. (2023)
ProteinBERT: a universal deep-learning model of protein sequence and function. Bioinformatics. (2022)
PWAS: proteome-wide association study—linking genes and phenotypes by functional variation in proteins. Genome Biology. (2020)
The language of proteins: NLP, machine learning & protein sequences. Computational and Structural Biotechnology. (2021)
Open problems in human trait genetics. Genome Biology. (2022)
Mitigation of chromosome loss in clinical CRISPR-Cas9-engineered T cells. Cell. (2023)
Genetic association studies of alterations in protein function expose recessive effects on cancer predisposition. Nature Scientific Reports. (2021)
Quantifying gene selection in cancer through protein functional alteration bias. Nucleic Acids Research. (2019)
We are hiring at all levels (students, postdocs, and staff).
The lab is affiliated with both the School of Medicine and the Courant Institute of Mathematical Sciences, and accepts students across different programs.
