Roster of Participants

I am a theorist. The goal of my project is to build a dynamical statistical biophysics and validate models in computational immunology and their components against time-dependent data in the presence and absence of a specific stimuli.

I am a theorist. I am interested in immune repertoire optimal organisation under constraints from pathogen evolution as well as immune cells hypermutations. I am also interested in active matter related topics and especially non-equilibrium behaviors such as flocking and schooling.

I am a theorist. I am interested in using statistical mechanics to search for collective behavior in biological systems, currently investigating emergent phenomena in biological neural networks.

I am a theorist. I am interested in using statistical physics to understand ecology and related complex systems.

I am a theorist. My research interests include computational biology, microbial ecology and evolution, genome structure and functions.

I am a theorist. My research focuses in the function and evolution of the gene regulatory network although I like to chat about anything, from statistical physics to machine learning.

I am an experimentalist. I am interested in mechanics that lead to unique behaviors in both single cells and multicellular systems.

I am a theorist interested in viral and pathogen evolution and dynamics.

I am a theorist interested in distribution efficiency and structure of complex networks.

I am a theorist. I’ve worked on questions related to the role of neural spike timing, and am currently thinking about the importance (or lack thereof) of precision in building sensors in biology.

I am a theorist interested in statistical Physics Modeling and Information Processing in the Adaptive Immune System

I am interested in understanding cell-type divergence using mathematical/theoretical methods. I am a theorist. 

I am a theorist. I’m generally interested in better understanding the role of stochastic effects in biological systems and, more concretely, in transport and assembly processes.

I am a theorist interested infrustrated self assembly, soft glassy rheology, cell migration.

I am an applied mathematician working under a theorist. I am interested in modeling the fluid-structure interaction of a double network hydrogel. 

I am a theorist interested in Using computational and analytic techniques from statistical physics to examine spatial patterns and dynamics in complex biological systems.

I am a theorist interested in microscopic dynamics of run-and-tumble particles in two dimensions.

I am a theorist.I’m working on modelisation of enzyme selectivity using out of equilibrium statistical physics.

I am a theorist interested in mathematical modeling of infections in the presence of immune responses and treatment.

I am a theorist. I am interested in using the tools of dynamical systems theory and information theory to investigate the fighting behavior of pairs of adult male zebrafish in 3D.

I am a theorist. I am interested in studying network inference problems in biology and chemistry using statistical physics.

I am a theorist. I am specially interested in learning Computational Neuroscience, Renormalizing networks and Animal Behavior.

I am a theorist. I split between fluidynamics and decision processes: I am very interested in understanding how living entities can solve turbulence to obtein fundamental information for its life.

I am a theorist interested in quantitative Immunology.

I am a theorist. I am interested in theoretical descriptions of complex systems, both inside cells, such as the combination of chemical reactions and phase-separation, and of many cells, such as in evolutionary and ecological processes.

I am a theorist. I am interested in the mechanics of semiflexible biopolymer networks.

I am a theorist interested in using and developing tools from statistical physics to understand the formation, organization, and dynamics of complex biological systems, in particular neural networks.

I am a theorist interested in biophysics, chronobiology, statistical mechanics, spin systems

I am a theorist. I am interested in learning different skills related to biophysics. I am currently working in mathematical models in order to simulate epithelial monolayers and wound healing.

I am a theorist. My research is focused on the role of cell-to-cell communication in sensing and responding to noisy signals.

I am a theorist interested in memory storage, working memory, consciousness

I am a theorist, and am interested in a wide range of problems at the interface of physics and biology.  There are two major themes: the approach of biological systems to fundamental physical limits as they collect and process information, and the emergence of collective behaviors from large numbers of interacting elements.  I have followed these themes, often through very close interactions with experimentalists, through systems ranging from single enzyme molecules to mammalian brains, and from genetic networks in the fly embryo to flocks of birds.  Most generally, I am interested in finding theoretical principles that have the power and generality that we have come to expect in physics, yet encompass the complexity and diversity of life’s most beautiful phenomena.

I am a theorist, interested in a variety of problems in soft matter, biological physics and complex systems. My research currently focuses on biological transport networks.

I am a theorist. Research in the Manning group focuses on collective behavior in biological tissues and deformation in disordered solids.

I am a theorist. My research investigates cell-cell communication and collective behavior using theoretical and computational tools from physics.

I am a theorist. I study how populations of neurons collectively encode information present in their inputs and how they perform computations on these signals. The brain performs several classes of computation including signal comparison, prediction, error correction, and learning. To investigate these phenomena, I work with experimentalists on a variety of systems: predictive coding in the retina and visual cortex of the rodent, motion coding in area MT, and temporal coding in the zebra finch song system. From these studies, several general principles have emerged, which guide my current research: the hypothesis that neurons are optimized to predict their future inputs, that information in neural populations is represented combinatorially, and that coding in sensori-motor systems is highly dynamic and behaviorally dependent. By working closely with experimentalists, we constrain and test these theories of neural population coding with detailed measurements.

I am a theorist. I study the statistical physics of learning in biological and artificial systems.

I am a theoretical physicist working on various topics in living systems, which include navigation, development, touch sensation.

I am a theorist. I am a physicist working to understand how biological systems, such as cells, organisms, and populations, learn from their surrounding environment and respond to it (we call this “biological information processing”). Put differently, What are the computational primitives employed by living organisms to compute their way through life? We are trying to understand if there are phenomenological, coarse-grained, and yet functionally accurate representations of such biological processes, or if we are forever doomed to every detail mattering. The dream is that, by stripping unnecessary details, we will eventually understand the basics of how we can function reliably in an ever changing world.

I am a theorist. The Stephens Group is helping to pioneer a new field – the physics of behavior: from individual organisms to entire societies. While science of the living world is overwhelmingly focused on the microscopic like the structure of DNA or the pattern of electrical activity in our brains, all of these processes serve the greater evolutionary goals of the organism: to find food, avoid predators and reproduce. This is the behavioral scale, and despite it’s importance, our quantitative understanding of behavior is much less advanced. But how do we quantify the emergent dynamics of entire organisms? What principles characterize living movement? Research in our group addresses these fundamental questions with a modern biophysics approach and model systems ranging from the nematode C. elegans to zebrafish and honeybee collectives. We combine theoretical ideas from statistical physics, information theory and dynamical systems and work in close collaboration with scientists from Amsterdam, OIST and around the world to develop and analyze novel, quantitative experiments of organisms in natural motion.