We work on problems in quantitative biology, materials design, non-equilibrium dynamics, and theoretical computer science.
A frequent theme in our work is realizing neuro-inspired `intelligent' functions (like pattern recognition, statistical inference and learning) through the collective dynamics of physical and biological systems.
Current work includes:
1. Inference and prediction of the environmental state by organisms.
2. Olfaction, molecular recognition and an information theory of `shape'.
3. Disordered non-linear mechanics, origami and problems of control.
See Publications and Research for more details.
Openings: If you are interested in working on such themes as a postdoc, graduate student or undergrad, contact firstname.lastname@example.org.
6/14/2016: Alexandra Carruthers arrives.
5/28/2016 : Weerapat Pittayakanchit arrives.
5/26/2016 : Weishun Zhong arrives.
5/19/2016 : Workshop on Aging and Failure in biology @ Harvard
4/14/2016 : FNANO 16 (Foundations of Nanoscience), Snowbird, UT
3/15/2016 : UIUC Condensed Matter Symposium.
2/19/2016 : Ryan Thiermann joins.
2/16/2016: Menachem Stern joins.
~ 2/9/2016 : Sheets 2016 workshop at KITP, Santa Barbara.
The Information Capacity of Specific Interactions
with: M. Huntley, M. Brenner
Proceedings of the National Academy of Sciences (May 2016)
Receptor arrays optimized for natural odor statistics,
with: D. Zwicker, M. Brenner
Proceedings of the National Academy of Sciences (Apr 2016)
Biological implications of dynamical phases in non-equilibrium reaction networks,
with: S. Vaikuntanathan
invited contribution, Journal of Statistical Physics (2016, 162 (5))
Undesired usage and the robust self-assembly of heterogeneous structures,
with: J. Zou, and M. Brenner
Nature Communications 6, 6203 (Jan 2015)
Multifarious Assembly Mixtures: Systems Allowing Retrieval of Diverse Stored Structures,
with: Z. Zeravcic, S. Leibler and M. Brenner
Proceedings of the National Academy of Sciences 112(1) 54-59 (Dec 2014)