I joined IST Austria in 2011. Previously I was a postdoc with Vijay Balasubramanian and Phil Nelson at University of Pennsylvania, working on the theory of neural coding and specifically exploring population coding and adaptation in the retina. I finished my PhD at Princeton with Bill Bialek and Curt Callan in 2007, studying how biological networks can reliably transmit and process information in the presence of intrinsic noise and corrupted signals. I am broadly interested in uncovering general principles that underlie efficient biological computation.
[ CV pdf ]
I am interested in information and signal processing in (noisy) biological systems with a special focus on gene regulation and neural networks. Although I mainly take a theoretical approach, I enjoy the close collaboration with experimental groups.
PhD, Physics (Universitat de València)
I am generally interested in nonlinear and complex systems dynamics. This interest has taken me to puddle in different fields such as the dynamics of piecewise continuous chaotic maps, adaptive complex networks or time series analysis in neuroscience. My research at IST concerns the processing of visual information in the retina.
Anna M Andersson
PhD, Physics (Niels Bohr Institute)
The question that fascinates me is how bacterial populations deal with uncertainty. A bacterial population makes chemical computations that determine what genes are expressed in single cells and in the population. The outcome of these noisy computations has to convey information about the surrounding environment, a seemingly daunting task. I study this theoretically working with Gasper but also collaborate with Tobias Bergmiller in Calin Guet’s group where we ask these question experimentally in relation to antibiotic resistance.
PhD, Computational Neuroscience (Goethe University, Frankfurt am Main)
I joined the lab as IST fellow in November 2013. Previously, I was a postdoc at the University of Cambridge in the lab of Mate Lengyel and a PhD student at the Frankfurt Institute for Advanced Studies in the lab of Jochen Triesch. In general terms, my research focuses on learning and memory. I use a combination of theoretical modelling, computer simulations and data analysis to explain how different low-level properties of neural circuits support these functions. For further details, please refer to my homepage.
The group is looking for graduate students!
Vijay Balasubramanian, University of Pennsylvania →
William Bialek, Princeton University →
Michael Berry 2nd, Princeton University →
Thomas Gregor, Princeton University →
Ann Hermundstad, University of Pennsylvania →
Olivier Marre, Princeton University →
Thierry Mora, Ecole Normale Superiore →
Phil Nelson, University of Pennsylvania →
Elad Schneidman, Weizmann Institute of Science →
Ronen Segev, Ben Gurion University →
Jonathan Victor, Weill-Cornell Medical College →
Aleksandra Walczak, Ecole Normale Superiore →