Giuseppe CarleoGiuseppe Carleo is a computational quantum physicist, whose main focus is the development of advanced numerical algorithms tostudy challenging problems involving strongly interacting quantum systems.He is best known for the introduction of machine learning techniques to study both equilibrium and dynamical properties,based on a neural-network representations of quantum states, as well for the time-dependent variational Monte Carlo method.He earned a Ph.D. in Condensed Matter Theory from the International School for Advanced Studies (SISSA) in Italy in 2011.He held postdoctoral positions at the Institut d’Optique in France and ETH Zurich in Switzerland, where he alsoserved as a lecturer in computational quantum physics.In 2018, he joined the Flatiron Institute in New York City in 2018 at the Center for Computational Quantum Physics (CCQ), working as a Research Scientist and project leader, and also leading the development of the open-source project NetKet.Since September 2020 he is an assistant professor at EPFL, in Switzerland, leading the Computational Quantum Science Laboratory (CQSL).
Martin HaslerAfter a PhD and a postdoc in theoretical physics, Martin Hasler has pursued reasearch in electrical circuit and filter theory. His current interests are the applications of nonlinear dynamics in engineering and biology. In particular, he is interested in information processing in biological and technological networks. He is most well-known for his work in communications using chaos and in synchronization of networks of dynamical systems.
He joined EPFL in 1974, became a titular professor in 1984 and a full professor in 1998. In 2002, he was acting Dean of the School of Computer and Communication Sciences. He was elected Fellow of the IEEE in 1993. He was the general chair of ISCAS 2000 in Geneva. He was Associate Editor of the IEEE Transactions in Circuits and Systems from 1991 to 1993 and Editor-in-Chief from 1993 to 1995. He was elected vice-president for Technical Activities of the IEEE Circuits and Systems Society from 2002 to 2005. He is a member of the Research Council of the Swiss National Science Foundation.
Nicolas Henri Bernard FlammarionNicolas Flammarion is a tenure-track assistant professor in computer science at EPFL. Prior to that, he was a postdoctoral fellow at UC Berkeley, hosted by Michael I. Jordan. He received his PhD in 2017 from Ecole Normale Superieure in Paris, where he was advised by Alexandre d’Aspremont and Francis Bach. In 2018 he received the prize of the Fondation Mathematique Jacques Hadamard for the best PhD thesis in the field of optimization. His research focuses primarily on learning problems at the interface of machine learning, statistics and optimization.
