The lab develops and applies computational tools to study DNA and RNA aberrations that drive cancer and how these produce novel therapeutic opportunities.
We use bioinformatics and machine learning to characterize alterations in cancer cells and advance precision medicine for patients. Our methods can be applied to any tumor type, but we have special interest in cancers arising from immune cells and specifically chronic lymphocytic leukemia (CLL), a common B-cell leukemia.
Congrats Nadav for winning the best poster prize at the IBS meeting!
Poster on "Studying heterogeneity in aging and cancer through single-cell gene expression networks"
RNA aberrations in leukemia
Finding leukemia drivers that lay beyond DNA mutations
Novel neoantigen detection
Enabling precision immunotherapy by uncovering new sources of neoantigens
genomics of leukemia
bioclinical impact of leukemia-immune relations
RNA-seq analysis for Clinical Genomics of rare diseases
Network analysis of single-cell RNA-seq
in aging and cancer
underlying age-related disease
We are actively recruiting highly motivated PhD students and Postdocs. MD students and programmers that are enthusiastic about cancer genomics and precision medicine are also welcome to apply.