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 understanding the dynamics of communication in biological systems. In particular on signal transmission and decision making in biochemical networks; with special focus in time-varying signals.
I joined IST as a graduate student in 2013. Previously I worked in the group of Martin Nowak at Harvard University focusing on problems of evolution of infectious diseases in finite populations. Now I am interested in more general questions about organization and information processing in complex systems. In particular, using data-driven approaches, I am trying to understand how local interactions among fish give rise to the collective behavior they exhibit in groups.
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.
PhD, Physics (AMOLF, Amsterdam)
I am interested in mechanisms that make information processing in biological systems robust, with a special focus on spatial aspects. My current research topic is the embryonic development of the fruit fly. Here different body parts are specified by local establishment of confined protein expression patterns. I am studying whether and how diffusive coupling and genetic cross-interactions can enhance information transmission via this process, and under which circumstances this works best. I employ methods from statistical physics, information theory, and spatially resolved stochastic simulations.
Daniele De Martino
PhD (SISSA Trieste)
I joined IST in November 2015 after a postdoc in La Sapienza University of Rome and I hold a PhD in Statistical Physics from SISSA (Trieste). The focus of my research is on statistical mechanics, i.e. how to reconstruct the collective macroscopic behavior of a system from the interactions of its microscopic constituent units, and its applications beyond condensed matter and in particular to biological processes. In the last years I have been working on the theoretical physico-chemical basis of cell metabolism and on the development of related computational methods for data analysis that I am currently using to model cell growth.
PhD (University of Goettingen)
I joined the IST in February 2015 after being a postdoc at the Max Planck Institute for Mathematics in the Sciences in Leipzig. I am interested in autonomous learning, that is how an embodied agent can determine what to learn, how to learn, and how to judge the learning success. I am using information theory and dynamical systems theory to formulate generic intrinsic motivations that lead to coherent behavior exploration – much like playful behavior. Furthermore I develop methods to quantify autonomous behavior in robots and animals using information theory and manifold learning.
Former group members
Jakob Ruess, IST Fellow, Fall 2016 starting as INRIA Palaiseau researcher
Vicent Botella-Soler, postdoc, independent data analysis consultant
Murat Tugrul, PhD student, cosupervised with Nick Barton (defended June 27, 2016); Fall 2016 starting as postdoc at St. Anna Kinderspital, Vienna
Georg Rieckh, PhD student (defended June 28, 2016); Fall 2016 starting as postdoc with Sergey Kryazhimskiy at UC San Diego
Gabriel Mitchell, postdoc
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, Vision Institute →
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 →