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Thomas Norman
Thomas Norman is an Associate Member in the Computational & Systems Biology Program at Memorial Sloan Kettering Cancer Center. Originally from Canada, he earned a bachelor’s degree in Mathematics and Engineering and a Master’s degree in Mathematics from Queen’s University in Kingston, Ontario, followed by a Ph.D. in Systems Biology from Harvard University.
As a Damon Runyon Fellow in Jonathan Weissman’s lab at UCSF, he co-developed the Perturb-seq approach and applied it to understanding genetic interactions. The Norman Lab is now working to integrate this technique with computational modeling to enable rational engineering of cell state, with a particular focus on fibroblasts and their role in disease. He is a 2020 recipient of an NIH Director’s New Innovator Award.
Sessions
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Multiome Perturb‑Seq: Scalable CRISPR Screens Linking Transcriptome and Epigenome at Single‑Cell Resolution04-Jun-2026Multi-Omics Integration Stage