Causes, genes, and networks

My research focuses on causal gene regulatory networks, particularly the computational methods and statistical models to infer and analyze them. Some of my studies ask what is causation to develop new models and inference methods. My other studies apply new and traditional methods to infer causal gene regulatory networks from high-throughput sequencing data, particularly single-cell multiomics. I 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 Projects tab.

I am looking for graduate (Ph.D.) students and postdocs as well as visiting researchers. Please send me an email to introduce yourself and attach your CV.