Programmable Genomics Laboratory @ UMass Chan Medical School

The Programmable Genomics Laboratory (PGL) in the Department of Genomics and Computational Biology at UMass Chan Medical School is an interdisciplinary research group bridging machine learning, synthetic biology, and regulatory genomics. We develop generalizable methods for designing regulatory elements and higher-order circuits with subtle and precise properties—enabling cell type-specific expression, transcriptional dosage control, and context-dependent production. Our goal is to be able to target any cell type in any tissue, at any stage of development, for any duration, and to deliver payloads more complex than typically seen in eukaryotic genomes.

To enable genomic design with this level of precision, PGL targets the full genomic machine learning stack. This means developing algorithms for processing genomics data, developing scalable and light-weight deep learning architectures without compromising on accuracy, and developing a broad range of computational methods for rigorously evaluating the quality and robustness of these models.

https://programmable-genomics.github.io/