Runxi Shen
Research Areas
- Cell & Molecular Biology
- Ecology and Evolutionary Biology
- Genomics, Multiomics and AI
- Structural and Computational Biology and Biophysics
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The Carpenter-Shen lab (co-led by Dr. Anne Carpenter) develops computational methods and applications for large-scale biological experiments integrating imaging and multiomics data. Dr. Shen is a computational biologist whose research bridges quantitative genetics, image-based profiling, and deep learning to advance the understanding of human disease and accelerate drug discovery. He develops AI-driven methods to extract meaningful biological signals from diverse datasets and leverage them for mechanistic insights, therapeutic discovery, and translational research. Education and Training • Postdoctoral Associate, Broad Institute of MIT and Harvard (2025-2026) • PhD in Computational Biology, Cornell University (2017-2022) • B.S. in Applied Mathematics, University of California, Los Angeles (2013-2017)
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