Group members

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Guillermo Abramson studies complex systems at the boundary between physics and biology. His interests comprise dynamical systems, the formation of spatiotemporal structures, and the emergence of order in ecological systems. In particular, he is interested in mathematical aspects of epidemic propagation. He has a Ph. D. in Physics, is an independent researcher of CONICET, and teaches at Instituto Balseiro. As an amateur astronomer, he is also involved in the divulgation of astronomy.

Yimy Amarillo studies the contribution of different ionic conductances to the excitability of individual neurons, and their impact on the functioning of neural networks. He is particularly interested in the contribution of intrinsic properties of thalamic neurons to their function as scanners of sensory information, as well as in the possible integrating function of the thalamus. He is a medical doctor and holds a Ph. D. in neurosciences. He has recently been incorporated to CONICET as adjunct researcher.

Sebastián Bouzat studies motion and propagation phenomena in physical and biological systems, especially, active transport in cell cytoplasm, pedestrian motion, and dynamics of granular media. He is also interested in processes of biological and cultural evolution. He has a Ph. D. in Physics, and he is independent researcher of CONICET and associate professor at Universidad Nacional de Río Negro.

The research work of Adrián A. Budini is focused on open quantum systems (dissipation and decoherence), quantum optics (fluorescence, single-molecule spectroscopy, quantum jumps, stastistics of photon counting), and classical stochastic processes (Langevin equations). His main contributions consist of the formulation and application of non-Markovian model dynamics to those areas. He bears a Ph. D. in Physics from the Universidade Federal do Rio de Janeiro (2003), and is assistant researcher of CONICET.

Octavio Cabrera Morrone is a fellow of CONICET and carries on his doctoral thesis in Engineering Sciences on passive radars under the direction of Dr. Damián Zanette.

Manuel O. Cáceres studies transport processes in quantum and classical heterogeneous systems, analyzing violations to the fluctuation-dissipation theorem. He also studies passive scalar classical fluids in turbulent media, asymptotic mathematical behaviour of positive nonsymmetric random matrices, and statistical properties of nonlinear systems perturbed by arbitrary noise. He has a Ph. D. in Physics, and he is reasearcher of CONEA, principal researcher of CONICET, and associate professor of Instituto Balseiro.

Rodrigo Cárdenas Szigety is a doctoral fellow of CONICET and carries on his thesis on medical image processing under the direction of Dr. Germán Mato.

María Da Fonseca carries on her Ph. D. thesis, entitled "Chromatic categorization in visual perception", under the supervision of Dr. Inés Samengo.

Pablo Gleiser does research on systems that can be modelled and characterized by means of complex networks. In particular, he is interested in the characterization of communities in social systems, in functional brain networks, and in the modelling of circadian neurons of the fruit fly. He bears a Ph. D. in Physics from Universidad Nacional de Córdoba, and he is independent researcher of CONICET and associate professor of Universidad Nacional de Río Negro.

Laila Kazimierski is a doctoral fellow of CONICET and carries on her thesis on ecological modeling under the direction of Drs. Guillermo Abramson and Marcelo Kuperman.

Marcelo Kuperman does interdisciplinary research, linking physics and mathematics with biology and social sciences. He is interested in epidemiological phenomena, culture propagation, microeconomic behaviour, game theory, and structure formation and propagation, involving complex networks and nonlinear differential equations. He has a Ph. D. in Physics, is independent researcher of CONICET, and teaches at Instituto Balseiro. Presently, he is head of FiEstIn.

Fabiana Laguna studies problems of social and biological origin, using tools from physics and mathematics. She is particularly interested in ecological systems and opinion formation. She also carries on a reseach line oriented to modelling and numerical simulation of some material science systems. She holds a Ph. D. in Physics, and she is independent researcher of CONICET.

Karina Laneri studies population dynamics by dynamical models, individual based models and complex networks, in order to understand the key mechanisms underlying observations. She is currently applying statistical inference methodologies developed for partially observed stochastic processes, combining temporal series data with computer simulations, to study the relationship between climate and malaria epidemics. She is also interested in extreme statistics. She holds a Ph. D. in Physics, and she is adjunct researcher of CONICET.

Melisa Maidana Capitán is a doctoral fellow of CONICET and carries on her thesis in neurosciences under the direction of Dr. Inés Samengo.

Germán Mato studies the dynamics of neural systems in order to understand their functional capacities, analyzing models of neural networks by means of numerical and analytical techniques. He also works on the processing of medical images, developing algorithms that provide useful information to the clinical medium. He holds a Ph. D. in Physics, and he is researcher of CNEA, independent researcher of CONICET, and adjunct professor of Instituto Balseiro. Presently, he coordinates the Medical Physics Master programme of Instituto Balseiro.

Marcela Nadal studies the molecular mechanisms of plasticity that allow individual neurons to adapt their function according to the dynamical complexity of the stimuli they receive. She is interested in the mechanisms relevant to learning and memory, to the processing of sensory information, and to the the generation of oscillations that contribute to neural network synchronization. She has a Ph. D. in molecular and cellular biology, she carried on postdoctoral research in neurosciences, and she is adjunct researcher of CONICET.

Sebastián Risau Gusmán
studies mathematical models of epidemic propagation in social networks. He also analyzes mathematical models of circadian neurons
in the fruit fly (*Drosophila melanogaster*), in order to contribute to the understanding of the mechanisms that generate
coherent circadian cycles in the brain. He is also interested in graph theory, and in the calculation of random matrix spectra.
He has a Ph. D. in Physics, is independent researcher of CONICET, and teaches at Universidad Nacional del Comahue.

Inés Samengo, Ph. D. in Physics, studies the way in which the nervous system represents sensory information (visual, auditory, etc.). Her aim is to understand the neural code: how spike trains encode information. She analyzes experimental data and theoretical neuron models, using tools from statistical physics and information theory. She is an independent researcher of CONICET, and adjunct professor of Instituto Balseiro.

Damián H. Zanette studies synchronization processes in large populations of interacting dynamical systems, and analyzes models of biological and social phenomena, such as epidemic propagation and opinion formation, on networks and other complex structures. He is also interested in the statistical properties of language and music. He holds a Ph. D. in Physics, and he is principal researcher of CONICET and associate professor of Instituto Balseiro.