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

September 05, 2020

AMS creates a Mathematical Moment on our research

 -Link, -Podcast

August 26, 2020

BBC Science Focus covers our search and rescue technique

 -Link

August 24, 2020

Scientific American covers our search and rescue technique

 -Link

June 24, 2020

NSF creates short film on our new search and rescue technique

 -Link

May 26, 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

May 07, 2020

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

 - Paper, featured on Harvard SEAS News​ and to appear in SIAM News

December 16, 2019

Organizing Chaos - check the video and story about my research, my path, and more

- Link
-Thanks to the Schmidt Science Fellows team for making this!

January 31, 2019

Our Polar Vortex work on Forbes

Link

December 19, 2018

ETH Medal Award for outstanding Doctoral Thesis

Link

June 11, 2018

Swiss National Science Foundation Fellowship

More about the fellowship 

April 25, 2018

Schmidt Science Fellowship

(in partnership with the Rhodes Trust)  More about the fellowship 

Press releases: PR Newswire,  Forbes 

 

 

 

 

March 15, 2017

Cover Image Proc. Royal Soc A

- Link

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