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
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).

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".

April 2024
Congratulations Sreejith, for being selected to participate in the prestigious Lindau Nobel Laureate meeting

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
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.

June 2022
Wonderful collaboration!

May 2020

April 2018
Mattia Serra receives the Schmidt Science Fellowship
(in partnership with the Rhodes Trust) Press releases: PR Newswire, Forbes

March 2017
Our work on the Cover Image Proc. Royal Soc A
