Research
Biological molecules carry out their functions through complex interactions with diverse molecular partners. However, models that can reliably predict these interactions—and generalize across different biological contexts—remain elusive for many critical interaction types. Our research focuses on developing predictive models for protein-RNA interactions, which govern fundamental cellular processes and are frequently dysregulated in disease. We aim to use these models to uncover the principles governing molecular specificity, how this specificity enables biological regulation, and how its disruption contributes to disease.
Our Focus:
We develop novel experimental technologies that enable us to measure how different types of biological molecules interact with each other at unprecedented scales. We then integrate these large-scale measurements with machine learning algorithms to build computational models that can predict and understand molecular interactions at atomic resolution. These models are then tested for their ability to predict and design interactions on independent data collected by ourselves and others.
