Causes, genes, and networks
We are a computational research lab at UMass Chan Medical School in Massachusetts, USA. Our research focuses on causal gene regulatory networks (cGRNs) in single-cell and spatial multi-omics, particularly the computational methods and statistical models to infer and analyze them. Some of our studies ask what is causation to develop new models and inference frameworks. Our other studies apply new and traditional methods to infer cGRNs. We like to first think gene regulatory network inference as a generic causal inference question and then apply domain-specific techniques and optimizations to the particular context and data type.
You can find our current and past research in the Research tab.
We are looking for research assistants, graduate (Ph.D.) students, postdocs, and visiting researchers that are motivated and interested in cGRNs. Please send us an email to introduce yourself and attach your CV using the link at the bottom.
news
Aug 25, 2025 | New funding from NIH |
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Aug 18, 2025 | Big WELCOME to Matthew Funk joining us as a Ph.D. student! |
Mar 03, 2025 | Lecture and workshop on gene regulatory network |
Jan 17, 2025 | Latest preprint on single-cell eQTL mapping and causal GRN inference |
Nov 25, 2024 | Big WELCOME to Yuhe Wang joining us as a Research Associate! |