Matt Ricci (PI)

Nathan Quiblier (Postdoc)

I use mathematical and computational models to explore intracellular dynamics. My work focuses on biochemical reaction networks and how cellular signaling is shaped by spatial constraints (molecular crowding, compartmentalization, …). I am particularly interested in situations involving anomalous or biased transport, which challenge classical diffusion assumptions. 

Personal website. 

Simon Blotas (PhD Student)

I've always been drawn to the intersection of technology and the life sciences, where computation meets the complexity of living systems. Computer science offers powerful tools to model, analyze, and make sense of biological data in ways that were previously unimaginable. I hope to contribute to the understanding and treatment of diseases, guided not only by scientific curiosity but also by a personal drive to create something meaningful.

Git

LinkedIn 

Amy Wang (Visiting Researcher)

I am broadly interested in AI for Science, particularly in generative models for scientific discovery, optimal transport, differential geometry, and physics-informed machine learning. Personal website.