معرفی
Thomas Norman is an Assistant Professor in the Computational & Systems Biology Program at Memorial Sloan Kettering Cancer Center. He earned a B.S. and M.S. in Engineering and Mathematics from Queen’s University and a Ph.D. in Systems Biology from Harvard University (2014). His postdoctoral work at UCSF involved developing Perturb-seq, a foundational single-cell CRISPR screening technique.
- Research Focus: Combining large-scale functional genomics with computational modeling to engineer cell states. Primary model: fibroblast biology in pathologies. Key contributions: Perturb-seq methodology, genetic interaction manifolds, and multiome CRISPR-screening frameworks.
- Applications: Cell therapy, disease modeling, and therapeutic normalization of pathological cell states.
Recent work (2025) includes Nature Genetics and Cell Systems publications on scalable CRISPRa Perturb-seq for recapitulating in vivo fibroblast states and multiomic integration of RNA/chromatin data. His lab explores representation learning, disease-linked fibroblast heterogeneity, and predictive models of genetic interactions.
- Scientific Awards:
- Josie Robertson Investigator (2019-2024)
- Damon Runyon-Dale F. Frey Award (2019)
- Damon Runyon Fellowship (2015-2018)
- NIH Director's New Innovator Award (2020)
Lab members include Research Fellow Rico Ardy, Graduate Students Daniel Cizin, Deirdre O'Sullivan, Olatunji Oni, and Anran Tang, with affiliations to institutions like Gerstner Sloan Kettering Graduate School of Biomedical Sciences.
