We develop data-driven methods and mathematical models to study complex biological and physical systems, mostly defined through experimental dynamical data sets. These systems are typically nonlinear, multi-scale and chaotic, thus require new ideas to 1) best uncover the underlying causal mechanisms from their footprint on data, and 2) predict their behavior from the essential driving processes. 

Morphogenesis & Active Matter

Coherent Structures

Flow Separation

News

April 2021

Our work on morphodynamics featured on SIAM NEWS

August 2020

BBC Science Focus covers our search and rescue technique

September 2020

AMS creates a Mathematical Moment on our research

June 2020

NSF creates short film on our new search and rescue technique

August 2020

Scientific American covers our search and rescue technique

May 2020

Search and rescue at sea aided by hidden flow structures, just appeared in Nature Communications

paper, Nature Press Highlight, featured on MIT News, ETH News 
algorithm

Dec 2019

Organizing Chaos - check the video and story about my research

linkThanks to the Schmidt Science Fellows team for making this!

Jan 2019

Our Polar Vortex work on Forbes

May 2020

Our paper Dynamic morphoskeletons in development, just came out in PNAS

paper, featured on Harvard SEAS News​ 

June 2018

Swiss National Science Foundation Fellowship

Dec 2019

ETH Medal Award for outstanding Doctoral Thesis

April 2018

Schmidt Science Fellowship

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

March 2017

Cover Image Proc. Royal Soc A