Course Lecturers

Biography

György Buzsáki is the Biggs Professor of Neuroscience at NYU Langone Health.  Buzsáki’s primary interests are mechanisms of memory, sleep and associated diseases. His main focus is “neural syntax”, i.e., how segmentation of neural information is organized by the numerous brain rhythms to support cognitive functions. His is best known for his groundbreaking two-stage model of memory trace consolidation, which demonstrates how the neocortex-mediated information during learning transiently modifies hippocampal networks, followed by reactivation and consolidation of these memory traces during sleep. To achieve these goals he has introduced numerous technical innovations from using silicon chips to NeuroGrid to record brain activity.

Buzsáki is among the top 1% most-cited neuroscientists, member of the National Academy of Sciences USA, the Academiae Europaeae and the Hungarian Academy of Sciences, Fellow of AAAS and he sits on the editorial boards of several leading neuroscience journals, including Science and Neuron; honoris causa at Université Aix-Marseille, France and University of Kaposvar, and University of Pécs, Hungary.

Dr. Buzsaki’s honors include the 2011 Brain Prize, The Ariëns Kappers Medal (2014), Translational Research Mentor of the Year Award, NYU (2014), Henry Neufeld Memorial Award, Israel (2008); College de France Distinguished Professor, Paris, France (2008); Distinguished Scholarship, Rutgers University (2006); Krieg Cortical Discoverer Award (2001); The Pierre Gloor Award (1997).

(Books: G. Buzsáki, Rhythms of the Brain, Oxford University Press, 2006; The Brain from Inside Out, OUP, 2019)

Google Scholar.

Wikipedia.

Biography

Panos Pardalos was born in Drosato (Mezilo) Argitheas  in 1954 and graduated from Athens University (Department of Mathematics).  He received  his  PhD  (Computer and Information Sciences) from the University of Minnesota.  He  is a Distinguished Emeritus Professor  in the Department of Industrial and Systems Engineering at the University of Florida, and an affiliated faculty of Biomedical Engineering and Computer Science & Information & Engineering departments.

Panos  Pardalos is a world-renowned leader in Global Optimization, Mathematical Modeling, Energy Systems, Financial applications, and Data Sciences. He is a Fellow of AAAS, AAIA, AIMBE, EUROPT, and INFORMS and was awarded the 2013 Constantin Caratheodory Prize of the International Society of Global Optimization. In addition, Panos  Pardalos has been awarded the 2013 EURO Gold Medal prize bestowed by the Association for European Operational Research Societies. This medal is the preeminent European award given to Operations Research (OR) professionals for “scientific contributions that stand the test of time.”

Panos Pardalos has been awarded a prestigious Humboldt Research Award (2018-2019). The Humboldt Research Award is granted in recognition of a researcher’s entire achievements to date – fundamental discoveries, new theories, insights that have had significant impact on their discipline.

Panos Pardalos is also a Member of several  Academies of Sciences, and he holds several honorary PhD degrees and affiliations. He is the Founding Editor of Optimization Letters, Energy Systems, and Co-Founder of the International Journal of Global Optimization, Computational Management Science, and Springer Nature Operations Research Forum. He has published over 600 journal papers, and edited/authored over 200 books. He is one of the most cited authors and has graduated 71 PhD students so far. Details can be found in www.ise.ufl.edu/pardalos

Panos Pardalos has lectured and given invited keynote addresses worldwide in countries including Austria, Australia, Azerbaijan, Belgium, Brazil,  Canada, Chile, China, Czech Republic, Denmark, Egypt, England, France, Finland, Germany, Greece, Holland,  Hong Kong, Hungary, Iceland, Ireland, Italy, Japan, Lithuania, Mexico, Mongolia, Montenegro, New Zealand, Norway, Peru, Portugal, Russia, South Korea, Singapore, Serbia, South Africa, Spain, Sweden, Switzerland, Taiwan, Turkey, Ukraine, United Arab Emirates, and the USA.

Biography

Professor of Theoretical Neuroscience and Machine Learning,
Director, Gatsby Computational Neuroscience Unit

Maneesh Sahani is Professor of Theoretical Neuroscience and Machine Learning at the Gatsby Computational Neuroscience Unit at University College London (UCL). Graduating with a B.S. in physics from Caltech, he stayed to earn his Ph.D. in the Computation and Neural Systems program, supervised by Richard Andersen and John Hopfield. After periods of postdoctoral work at the Gatsby Unit and the University of California, San Francisco, he returned to the faculty at Gatsby in 2004 and was elected to a personal chair at UCL in 2013. His work spans the interface of the fields of machine learning and neuroscience, with particular emphasis on the types of computation achieved within the sensory and motor cortical systems. He has helped to pioneer analytic methods which seek to characterize and visualize the dynamical computational processes that underlie the measured joint activity of populations of neurons. He has also worked on the link between the statistics of the environment and neural computation, machine-learning based signal processing, and neural implementations of Bayesian and approximate inference.

https://www.gatsby.ucl.ac.uk/~maneesh/

Biography

I am a principal scientist and research director at Google DeepMind interested in vision, language and learning. I lead organizations interested a basic and applied research focused on machine learning, computer vision and basic science research. Some accomplishments included the invention of TensorFlow, the deployment of many production systems, and several large collaborations with Waymo.

To learn more about my work, please see a list of my former interns as well as my publications and tutorials.

Biography