Miri Adler completed a BSc in Physics at the Technion and obtained an MSc and a PhD in Physics at the Weizmann Institute with Prof. Uri Alon, studying design principles of biological circuits. In her postdoctoral research in the labs of Prof. Ruslan Medzhitov at Yale University and Prof. Aviv Regev at the Broad Institute, Miri developed theoretical and computational frameworks to uncover universal principles of the collective behavior of cells at the tissue level. Miri received a Fulbright scholarship, EMBO postdoctoral scholarship, Zuckerman STEM leadership program fellowship, and the Israel National Postdoctoral Award Program for Advancing Women in Science. Currently she is an associate research scientist at the Tananbaum Center for Theoretical and Analytical Human Biology at Yale University. Starting in December 2023, Miri will be joining the Hebrew University as a senior lecturer at the Alexander Silberman Institute of Life Sciences and the Faculty of Medicine.

Stefano Boccaletti received the PhD in Physics at the University of Florence on 1995, and a PhD honoris causa at the University Rey Juan Carlos of Madrid on 2015. He was Scientific Attache’ of the Italian Embassy in Israel during the years 2007-2011 and 2014-2018. He is currently Director of Research at the Institute of Complex Systems of the Italian CNR, in Florence. His major scientific interests are i) pattern formation and competition in extended media, ii) control and synchronization of chaos, and iii) the structure and dynamics of complex networks. He is Editor in Chief of the Journal “Chaos, Solitons and Fractals” (Elsevier) from 2013, and member of the Academia Europaea since 2016. He was elected member of the Florence City Council from 1995 to 1999. Boccaletti has published 402 papers in peer-reviewed international Journals, which received more than 36,200 citations (Google Sholar). His h factor is 71 and his i-10 index is 232. With more than 12,300 citations, the monograph ¨Complex Networks: Structure and Dynamics¨, published by Boccaletti in Physics Reports on 2006 converted into the most quoted paper ever appeared in the Annals of that Journal.

Dr. Jianxi Gao is an associate professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). Prior to joining the Computer Science at RPI, he was a Research Assistant Professor at the Center for Complex Network Research at Northeastern University from 2012, working with Prof. Albert-László Barabási. Dr. Gao got his Ph. D. degree in the Department of Automation at Shanghai Jiao Tong University from 2008 to 2012. During his Ph.D. from 2009 to 2012, he visited Prof. Eugene Stanley in the Physics department at Boston University and Prof. Shlomo Havlin in the Physics department at Bar-Ilan University in 2012. He received the NSF CAREER Award in 2021. His research focuses on using network theory, control theory, statistic physics, and operation research to understand, predict, and ultimately control resilience and cascading failures of complex systems. He has published over 90 papers in journals such as Nature, Nature Physics, Nature Ecology & Evolution, Nature Communications, PNAS, PRL, and more, and conferences such as AAAI, KDD, and IJCAI, with over 7,000 citations on Google Scholar. I have also been selected as the Editor board of Nature Scientific Reports and Physica A, external PNAS editor, and distinguished referee of EPL and Elsevier.

1993 – 1997 Tel-Aviv University, Studies in the Adi Lautman Interdisciplinary Program for Excellent Students. 1996 – 1999 Tel-Aviv University, Physics, M.Sc, Magna cum Laude. 1999 – 2003 Tel-Aviv University, Physics, Ph.D. 2004 – The Weizmann Institute, Chemical Physics, Post-doctoral fellow. 2004 – 2008 Ecole Normale Superieure de Paris, France, Physics, Post-doctoral fellow. 2008 – 2014 Lecturer in disordered systems, Mathematics Department, King’s College London, UK. 2014 – present Associate Professor, Racah Institute of Physics, The Hebrew University of Jerusalem, Israel.

Prof. Yamir Moreno got his PhD in Physics (Summa Cum Laude, 2000) from the University of Zaragoza. He is the Director of the Institute for Biocomputation and Physics of Complex Systems (BIFI), the head of the Complex Systems and Networks Lab (COSNET), and Professor of Physics at the Department of Theoretical Physics of the Faculty of Sciences, University of Zaragoza. Prof. Moreno is also a Research Director, Principal Scientist, and Chair of the Steering Committee of Centai Institute in Turin, Italy, and External Professor of the Complexity Science Hub in Vienna, Austria. He received the Complex Systems Society's Senior Scientific Award in 2019 and the Service Award in 2022. He is a Highly Cited Researcher in the field of Cross-Field 2019 (Web of Science) and was a first-class Fellow of the ISI Foundation (2013). Prof. Moreno is an elected Fellow of the American Physical Society (2021) and the Network Science Society (2022). He was also a Principal Scientist and Area Coordinator at the ISI Foundation in Turin, Italy from 2017 to 2022. Prof. Moreno was the President of the Network Science Society from 2018 to 2022 and the President of the Complex Systems Society from 2015 to 2018. His field of research is in the theoretical foundations of complex systems, which he investigates using tools from mathematics, physics, and network science. Prof. Moreno's research interests include disease dynamics, diffusion processes, mathematical biology, nonlinear dynamical processes, and the structure and dynamics of complex systems. He has published more than 275 scientific papers with a total of 46700+ citations and h-index 81 (Google Scholar; 28400+ & 67, WoS, both as of September 2023). Prof. Moreno has supervised 29 undergraduate or Master Thesis as well as 20 PhD Thesis. Currently, 4 PhD Thesis are being supervised. Prof. Moreno was a Divisional Associate Editor of Physical Review Letters from September 2014 to September 2020, and has been an Editor of PLoS Computational Biology (2021-), the New Journal of Physics (2018-2023), Chaos, Solitons and Fractals (2018-), and Journal of Complex Networks (2014-) and a member of the Editorial Boards of PLoS ONE (2010-2018), Scientific Reports (2012-2018), Applied Network Science (2016-), Frontiers in Physics (2018-) and Proc Royal Society A (2022-). He has also been the PI of 6 EU Projects, 5 of them since 2012. He is a regular reviewer for over 30 journals (including the Nature family journals, Science, PRL, etc.) and 6 Research Agencies, among which the EU, the ERC, the National Science Foundation of the USA, the French Research Agency, and the Netherland Research Agency. Prof. Moreno was a member of the Future and Emerging Technology Advisory Group of the EU Research Framework (from 2014-2018) and of the Advisory Board of the WHO Collaborative Center Complexity Sciences for Health Systems (CS4HS), whose headquarters was at the University of British Columbia Centre for Disease Control, in Vancouver, Canada. He is a shareholder of two research-driven companies.

Dr. Michael Schaub studied Electrical Engineering and Information Technology at ETH Zurich. After an MSc in Biomedical Engineering at Imperial College London, he obtained his PhD in Mathematics at Imperial College London. Thereafter he worked as a Research Fellow in Belgium (Université catholique de Louvain / Université de Namur), before he moved to the Massachusetts Institute of Technology (MIT) as a Postdoctoral Research Associate. From July 2017 onwards he was a Marie Skłodowska Curie Fellow at MIT and the University of Oxford. He joined the faculty of RWTH Aachen University in June 2020 as an assistant professor, supported by the NRW Return Programme (2019). He was awarded an ERC Starting grant in 2022.

Ronny Bartsch studied physics in Konstanz, Germany, and at Bar-Ilan University, Israel, where he received his Ph.D. in 2009. Ronny was a post-doctoral fellow at the Division of Sleep Medicine, Harvard Medical School, from 2008 to 2013, after which he joined the faculty at the same division as an Instructor in Medicine. In April 2014, Ronny joined the Physics Department at Boston University as a Research Assistant Professor. Since October 2020, he has been an Associate Professor at the Department of Physics at Bar-Ilan University. Ronny applies statistical physics and nonlinear dynamics methods to study physiologic dynamics and sleep regulation, and he investigates how physiologic transitions affect network interactions among organ systems.

Bio coming soon...

Dr. Sarika Jalan is Full Professor at Indian Institute of Technology Indore. Before joining IIT Indore, Sarika was senior research scientist at NUS, Singapore. She did her PhD from Physical Research Laboratory Ahmedabad, followed by post doctorate at Max-Planck-Institute for Mathematics in Sciences, Leipzig, and Max-Planck-Institute for Physics of Complex Systems Dresden, Germany. Currently, she is Editor-in-Chief of Journal of Computational Science (JOCS Elsevier), and elected executive member of Complex Systems Society. She has also received the prestigious SERB power fellowship from Government of India for 2022-2025. Her broad research interests lie in Coupled dynamics, Synchronization, Hypergraphs, Chaos, Delayed networks, Adaptation and Evolution.

Jürgen Kurths is a mathematician and a physicist. He received the Ph.D.degree from the GDR Academy of Sciences and his Dr. habil. from the university of Rostock.. He was a Full Professor with the University of Potsdam, from 1994 to 2008. He has been a Professor of Nonlinear Dynamics at the Humboldt University, Berlin, and the Chair of the Research Domain Complexity Science of the Potsdam Institute for Climate Impact Research, since 2008. He is a Fellow of the American Physical Society, of the Royal Society of Edinburgh and of the Network Science Society and a member of the Academia Europaea. He received an Alexander von Humboldt Research Award in 2005 and 2021, the Richardson award from the European Geoscience Union in 2013, the Lagrange Award in 2022 and the SigmaPhi Prize of the European Physical Society. He is Chapman Chair of the university of Fairbanks, dean of the SES at HUST (Wuhan) and Distinguished Adjunct Professor at KENTECH (Korea). He is a highly-cited researcher (Clarivate) and got eight Honorary Doctorates and Honorary Professors. He is Editor-in-chief of CHAOS – A Journal of Nonlinear Science and editor of about 10 further journals. The primary research interests of Jürgen Kurths include complex systems science, in particular synchronization, complex networks, and time series analysis and its applications in Earth Sciences, Physiology, engineering and others. Main recent studies are on inferring networks from data, improved predictions of extreme climate events, generalized stability concepts for the design of modern power grids, influence of Le´vy noise on complex systems and hypernetworks.

Adilson E. Motter is a Chaired Professor of Physics and Director of the Center for Network Dynamics at Northwestern University. He has served as an Executive Committee member of the Northwestern Institute on Complex Systems and a Science Board member of the Santa Fe Institute. Prior to joining the Northwestern faculty, he held positions as Director’s Postdoctoral Fellow at the Center for Nonlinear Studies of Los Alamos National Lab and as Guest Scientist at the Max Planck Institute for the Physics of Complex Systems. A former Chair of the APS Statistical and Nonlinear Physics unit, he is the current President of the Network Science Society. Motter’s research is focused on the dynamics of complex systems and networks, including synchronization dynamics, cascading failures, network control, and network symmetry phenomena. Applications of his work for which student and postdoc positions are currently open in his group include: quantum network science, power grids and energy systems, microfluidic and metamaterial networks, coupled laser systems, and data-driven discovery in biomedical problems. His research awards include a Sloan Research Fellowship, an NSF CAREER Award, the Erdős-Rényi Prize in Network Science, the Senior Scientific Award of the Complex Systems Society, and a Simons Foundation Fellowship. He is a Fellow of the American Physical Society, Network Science Society, and American Association for the Advancement of Science. Group webpage: http://dyn.phys.northwestern.edu/.

MARC TIMME studied Physics and Applied Mathematics in Würzburg, Stony Brook,and Göttingen, and received a doctorate in Physics from the University of Göttingen. After research at the Max Planck Institute for Flow Research and at Cornell University, he was selected by the Max Planck Society to the Head of a broadly cross-disciplinary Max Planck Research Group on Network Dynamics at the Max Planck Institute for Dynamics and Self-Organization. He held a Visiting Professorship at TU Darmstadt and was a Visiting Faculty at ETH Zürich. He is currently a Strategic Professor and the Head of the Chair for Network Dynamics (http://networkdynamics.info) at the Center for Advancing Electronics Dresden (cfaed), the Institute for Theoretical Physics, and the Cluster of Excellence Physics of Life at TU Dresden. He was the Co-Chair of the Division of Socio-Economic Physics of the German Physical Society (DPG) from 2014 to 2022. His research integrates first principles theory with data-driven modeling to establish generic fundamental insights that drive applications of complex dynamical systems, including bio-inspired information processing, energy systems, collective mobility and transport, and systemic sustainability. In recognition of his research, he received several distinctions, including the Otto Hahn Medal of the Max Planck Society, the Berliner Ungewitter Award, a Director's Fellowship at Los Alamos National Lab (declinded), and in 2018 has been named an Honorary Member of the Lakeside Labs Klagenfurt.

Ginestra Bianconi is Professor of Applied Mathematics in the School of Mathematical Sciences of Queen Mary University of London and she is Alan Turing Fellow at the Alan Turing Institute. She is member of the European Academy of Sciences. Currently she is Chief Editor of JPhys Complexity, Editor of PloSOne, and Scientific Reports, and she is Associate Editor of Chaos, Solitons and Fractals. Awards: Network Science Fellowships by the NetSci Society. Her research activity on Statistical Mechanics and Network Science includes Network Theory and its interdisciplinary applications. She has formulated the Bianconi-Barabasi model that displays the Bose-Einstein condensation in complex networks. She has formulated the statistical mechanics of network ensembles and she has proven their non-equivalence. She has made important contribution on the study of critical phenomena on networks. In the last years, she has been focusing on multilayer networks, simplicial complexes, network geometry and topology, percolation, synchronization and network control. She is the author of the books Multilayer Networks: Structure and Function (Oxford University Press, 2018), Higher-order Networks: An introduction to simplicial complexes (Cambridge University Press, 2021) and editor of Networks of Networks in Biology (Cambridge University Press, 2021).

De Domenico is Associate Professor of Physics at the Department of Physics and Astronomy "Galileo Galilei", University of Padua (Italy) where he also directs the Complex Multilayer Networks Lab. He is a member of the Scientific Board of the Padua Neuroscience Center and Program Director of the Padua Center for Network Medicine. He is the national coordinator of the Italian Chapter of the Complex Systems Society. De Domenico is interested in a variety of complex systems, with studies ranging from human mobility and infectious disease spreading, to protein-protein interactions and connectomics. His research focuses on collective phenomena emerging from natural and artificial interdependent systems, with contributions to multiscale modeling and analysis of multilayer networks, their structure, dynamics, information capacity and resilience to shocks, finding applications in systems biology, systems medicine and computational epidemiology. In August 2023, De Domenico received a €1M funding from the Italian Fund for Science (FIS) to investigate the resilience of human-made networks to climate change and develop optimal adaptation strategies based on network dynamics. For his work he received the Young Scientist Award for Socio- and Econophysics from the German Physical Society (2020), the IUPAP Young Scientist Award on Statistical Physics from the IUPAP-C3 (2019), the USERN Prize in Formal Sciences from USERN (2017) and the Junior Scientific Award from the Complex Systems Society (2016). He has published more than 150 scientific papers on peer-reviewed journals, attracting 20000+ citations.

Jonathan is an Assistant Professor (senior lecturer) at the Edmond and Lili Safra Center for Brain Sciences at the Hebrew University of Jerusalem. His principal field of research explores the emergence of computation and cognitive behavior from large neuronal networks. A primary focus lies in understanding learning processes and functional mechanisms in the living brain, alongside a keen interest in the theoretical foundations of machine learning models. Jonathan’s group employs methodologies from statistical physics, nonlinear dynamics, information theory, and machine learning to investigate the problem-solving abilities of neural networks. Moreover, the group delves into the comparisons between artificial neural networks and their biological equivalents. His expertise also extends into related domains, including the Statistical physics of disordered systems, nonlinear dynamics and chaos theory, machine learning, nonequilibrium systems, and computational neuroscience. Jonathan received his Ph.D. at the Racah Institute of Physics at the Hebrew University and was an Independent Schwartz Foundation postdoctoral fellow at Stanford University. He currently serves on the editorial board of PRX Life.

Hernán Makse, a member of the Brazilian Academy of Science, currently serves as Distinguished Professor of Physics at the Physics Department of City College of New York, wherein he is responsible for the Complex Networks and Soft Matter lab at the Levich Institute. He is also an Affiliate Member at Memorial Sloan Kettering Cancer Center and the CEO of Kcore Analytics, where he develops machine learning algorithms to predict human behavior. He holds a Ph.D. degree in Physics from Boston University. He has been the author of numerous publications on the theory of complex systems and the physics of soft materials, and he is an APS Fellow. His research focuses on the theoretical understanding of Complex Systems from a Statistical Physics viewpoint. He is working towards developing new emergent laws for complex systems, ranging from brain networks to biological networks and social systems. Treating these complex systems from a unified theoretical approach, he uses concepts from statistical mechanics, network and optimization theory, artificial intelligence, and big-data science to advance new views on complex systems and networks.

2019- PI, Hebrew University Integrative modeling of dynamic biological systems 2018-2019 Associate Specialist, University of California, San Francisco (UCSF) Bayesian metamodeling across representations and scales 2012-2017 Postdoctoral scholar, University of California, San Francisco (UCSF) With Andrej Sali (Bioengineering & Therapeutic Sciences) Integrative modeling of nucleocytoplasmic transport 2006-2011 PhD, Hebrew University, Israel (2011) With Ora Furman (Medicine, HUJI) and Dan Halperin (CS, Tel Aviv University) Modeling peptide-protein interactions and flexibility using Monte-Carlo and robotic motion planning. 2004-2006 MSc, Weizmann Institute, Israel (2006) Computer Science, specializing in Bioinformatics With Ronen Basri (CS) and Gideon Schreiber (Chemical Biology) Unsupervised learning of network motifs in protein structures (Dean’s prize) 2001-2004 BSc, Hebrew University, Jerusalem, Israel (With Honors) Computational Biology program for outstanding students Short research statement: Dr. Raveh studies how complex and dynamic biological systems function through the interactions between their components over space and time. Rather than relying on data from one experimental or theoretical method, his lab specializes in integrating data from diverse sources of information such as imaging data, proteomic screens, in vivo microscopy, biochemical measurements, and x-ray crystallography. This integrative approach synergizes and harmonizes data about different aspects of the modeled system, providing a more complete quantitative description of the system at all scales of interest.