Denis DubouleDenis Duboule is born in 1955 and is both swiss and french national. He studied biology at the university of Geneva, where he obtained a PhD in mammalian embryology in 1984. He then spent 10 years abroad, first as a group leader in the medical faculty in Strasbourg (France), then at the European Laboratory for Molecular Biology (EMBL) in Germany. In 1993, he was appointed full professor at the university of Geneva, where he chairs the department of Genetics and Evolution ever since 1997. In 2001, he chaired the national center of research Frontiers in Genetics and in 2012 the division III of the SNSF. In 2006, he was appointed full professor at the federal institute of technology (EPFL) in Lausanne, where he leads the laboratory of Developmental Genomics (UpDUB).
His research activities are in the fields of embryology, genetics and developmental genomics of mammals, in an evolutionnary context. In particular, his laboratory has been closely associated with the structural and functional studies of mammalian Hox genes, by using mouse molecular genetic approaches. Duboule is also active in the communication of science, is member of the Academia Europea as well as of several academies in Switzerland, France and the Netherland. He is a foreign member of the Royal Society (UK) and of the National Academy of Sciences USA. He has received various scientific prizes and awards, amongst which the Marcel Benoist Prize, the Louis-Jeantet prize for medicine in 1998 or the international INSERM prize in 2010 (see also https://en.wikipedia.org/wiki/Denis_Duboule). Dario FloreanoProf. Dario Floreano is director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology Lausanne (EPFL). Since 2010, he is the founding director of the Swiss National Center of Competence in Robotics, a research program that brings together more than 20 labs across Switzerland. Prof. Floreano holds an M.A. in Vision, an M.S. in Neural Computation, and a PhD in Robotics. He has held research positions at Sony Computer Science Laboratory, at Caltech/JPL, and at Harvard University. His main research interests are Robotics and A.I. at the convergence of biology and engineering. Prof. Floreano made pioneering contributions to the fields of evolutionary robotics, aerial robotics, and soft robotics. He served in numerous advisory boards and committees, including the Future and Emerging Technologies division of the European Commission, the World Economic Forum Agenda Council, the International Society of Artificial Life, the International Neural Network Society, and in the editorial committee of several scientific journals. In addition, he helped spinning off two drone companies (senseFly.com and Flyability.com) and a non-for-profit portal on robotics and A.I. (RoboHub.org). Books
Manuale sulle Reti Neurali, il Mulino (in Italian), 1996 (first edition), 2006 (second edition)Evolutionary Robotics, MIT Press, 2000
Bio-Inspired Artificial Intelligence, MIT Press, 2008
Flying Insects and Robots, Springer Verlag, 2010
Ali H. SayedAli H. Sayed is Dean of Engineering at EPFL, Switzerland, where he also leads the Adaptive Systems Laboratory. He has also served as Distinguished Professor and Chairman of Electrical Engineering at UCLA. He is recognized as a Highly Cited Researcher and is a member of the US National Academy of Engineering. He is also a member of the World Academy of Sciences and served as President of the IEEE Signal Processing Society during 2018 and 2019.
Dr. Sayed is an author/co-author of over 570 scholarly publications and six books. His research involves several areas
including adaptation and learning theories, data and network sciences, statistical inference, and multiagent systems.
His work has been recognized with several major awards including the 2022 IEEE Fourier Award, the 2020 Norbert Wiener Society Award and the 2015 Education Award from the IEEE Signal Processing Society, the 2014 Papoulis Award from the European Association for Signal Processing, the 2013 Meritorious Service Award and the 2012 Technical Achievement Award from the IEEE Signal Processing Society, the 2005 Terman Award from the American Society for Engineering Education, the 2005 Distinguished Lecturer from the IEEE Signal Processing Society, the 2003 Kuwait Prize, and the 1996 IEEE Donald G. Fink Prize. His publications have been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015). He is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS); the publisher of the journal Science.
Andrew Charles OatesAfter an undergraduate degree in Biochemistry at the University of Adelaide with Honours in Robert Saint’s lab, Andrew Oates received his Ph.D. at the Ludwig Institute for Cancer Research and the University of Melbourne in the lab of Andrew Wilks. His postdoctoral time was at Princeton University and the University of Chicago in the lab of Robert Ho, where his studies on the segmentation clock in zebrafish began in 1998. In 2003 he moved to Germany and started his group at the Max Planck Institute for Molecular Cell Biology and Genetics in Dresden. In 2012 he accepted a position at University College London as Professor of vertebrate developmental genetics and moved his group to the MRC-National Institute for Medical Research at Mill Hill in London. From April 2015, he became a member of the Francis Crick Institute in London. In September 2016, he joined École polytechnique fédéral de Lausanne (EPFL) in Switzerland as a Professor, where he is the head of the Timing, Oscillation, Patterns Laboratory. From April 2018 he served as Director of the Institute of Bioengineering, and from January 2021 became the Dean of the School of Life Sciences.
The Timing, Oscillation, Patterns Laboratory is composed of biologists, engineers, and physicists using molecular genetics, quantitative imaging, and theoretical analysis to study a population of coupled genetic oscillators in the vertebrate embryo termed the segmentation clock. This system drives the rhythmic, sequential, and precise formation of embryonic body segments, exhibiting rich spatial and temporal phenomena spanning from molecular to tissue scales.
