Yuval Kluger, PhD

I have been working in the broad fields of bioinformatics, machine learning, applied mathematics and dynamics of quantum fields. My current research interests relate to development of spectral methods and unsupervised & supervised deep learning approaches for analyzing high dimensional genomics, transcriptomics, epigenomics and proteomics data from various modalities. I apply these methods in the context of cancer, immunobiology, brain and phylogeny studies with the aim of revealing cell specific regulatory networks and characterizing biomarkers.