Dr. Yuval Kluger

Biography

Yuval Kluger is the Anthony N. Brady Professor of Pathology at Yale School of Medicine. His research broadly spans the fields of bioinformatics, machine learning, and applied mathematics, with a focus on developing spectral methods for analyzing high-dimensional genomics, transcriptomics, and epigenomics data. Kluger applies these methodologies mainly to cancer research, immunobiology, and phylogenetics, aiming to reveal cell-specific regulatory networks and identify biomarkers. He is known for his contributions to spectral graph-based methods and unsupervised machine learning techniques that enhance data analysis capabilities, especially in computational genomics. His work includes advancements in algorithms for deconvolving single-cell sequencing data and cancer evolution models, and he has numerous publications on peak detection and feature selection methods in ChIP-seq and single-cell RNA-seq data. Kluger holds a Ph.D. from Tel Aviv University and distributes his research through collaborations and projects under various Yale initiatives and training programs. He has also been significantly involved in medical research applications of artificial intelligence and deep learning in life sciences.

Research Interests