Yuval Itan

Yuval Itan, PhD

  • ASSISTANT PROFESSOR | Genetics and Genomic Sciences

Research Topics:

Bioinformatics, Biomedical Informatics, Biomedical Sciences, Biostatistics, Clinical Genomics, Computational Biology, Computer Simulation, Evolution, Gene Discovery, Genetics, Genomics, Immune Deficiency, Infectious Disease, Inflammatory Bowel Disease (IBD), Mathematical Modeling of Biomedical Systems, Mathematical and Computational Biology, Neural Networks, Obesity, Parkinson's Disease, Personalized Medicine, Proteomics, Systems Biology, Technology & Innovation, Theoretical Biology, Translational Research

Dr. Yuval Itan is an Assistant Professor in the Department of Genetics and Genomic Sciences, and a core member of The Charles Bronfman Institute for Personalized Medicine, at the Icahn School of Medicine at Mount Sinai in New York City.

The main focus of the Itan lab is investigating human disease genomics for enhancing precision medicine, by developing new computational methods to detect disease-causing mutations and genes in next generation sequencing data of patients, and by performing cases-controls studies of patient cohorts to identify new genetic etiologies of human diseases.

The Itan lab applies and combines diverse approaches across computer science and biology, including machine learning, natural language processing, bioinformatics, statistical genomics, modelings and simulations, and population genetics.

Itan lab webpage

Education

BSc, Bar-Ilan University

PhD, University College London

Postdoc, The Rockefeller University