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We develop data-driven mathematical methods and physical models to study biological and physical systems defined through equations or experiments. These systems are typically nonlinear, multi-scale and chaotic, requiring novel approaches to (i) detect emergent dynamic patterns from data and (ii) learn their generating principles. Recent research interests include self-organization in embryonic development, control of morphogenesis and active matter, fluid dynamics and coherent structures.

December 2024

Mattia Serra receives the NSF CAREER Award


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December 2024

UC Active Matter Hub

The "UC Active Matter Hub" is a UC Multicampus Research Programs and Initiative to nucleate collaborations between UC Merced (Mitchell, Hirst), UCSB (Marchetti, Dogic) and UCSD (Serra, Tan).

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April 2024

Mattia Serra receives the HFSP Early Career Research Award

Together with Alessandro Mongera (UCL) and Maria Almuedo-Castillo (Centro Andaluz de Biología del Desarrollo) we will study the "Mechanical Control of Hidden Embryonic Boundaries".

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April 2024

Congratulations Sreejith, for being selected to participate in the prestigious Lindau Nobel Laureate meeting

 

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June 2023

Congratulations Sreejith, a third-year Ph.D. student in our group, for being selected for the KITP summer school on Dynamics of Self-Organization in Animal and Plant Development

 

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July 2022

Congratulations Alex, a first-year Ph.D. student in our group, for receiving the NIH-sponsored QBio fellowship.

Alex will develop mathematical methods and models for predicting multicellular self-organization.

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June 2019

 

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April 2018

Mattia Serra receives the Schmidt Science Fellowship

(in partnership with the Rhodes Trust)  Press releases: PR Newswire, Forbes

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December 2017

 

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March 2017

Our work on the Cover Image Proc. Royal Soc A

 

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