Keynote Speakers
54th International Liège Colloquium on Ocean Dynamics | 8 to 12 May 2023
 |
Katalin BlixDr. Katalin is a research fellow at the Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway. Her research interests include machine learning algorithm development for regression and classification and XAI (eXplainable Artificial Intelligence); and applications to remotely sensed data, such as biogeochemical and sea ice parameters retrieval. Katalin is currently a WP leader for machine learning in the project MASSIMAL, a sub-task leader for remote sensing in the project Nancen Legacy and leading and organizing a 1-year project in optically complex waters founded by the Norwegian Research Council. |
|
Ronan FabletDr. Ronan Fablet held an engineer degree from ISAE-SUPAERO (Insitut Supérieur de l’Aéronautique et de l’Espace) Toulouse, France (1997), a MSC. In Applied Math from Univ. Paul sabatier, Toulouse, France (1997) and a Ph.D. degree in signal processing and telecommunications from the University of Rennes/INRIA Rennes, France (2001). In 2002, he was a INRIA postdoctoral fellow with Brown University, Providence, RI, USA. From 2003 to 2007, he held a full-time research position with IFREMER Brest in the field of signal and image processing applied to fisheries science. In 2008, he joined the Signal and Communications Department, IMT Atlantique Bretagne-Pays de la Loire (formerly Télécom Bretagne), as an Associate Professor, and has been holding a full Professor position since 2012. He was a Visiting Researcher with Institut de Recherche pour le Développement/Instituto del Mar del Peru, Peru (Peruvian Sea Research Institute) in 2011 and a Visiting Professor at IMEDEA (CSIC/UIB, Spain) in 2016. His main research interests are in data science with a main application field in ocean monitoring and surveillance. He has led national and international programs (e.g., EU STREP AFISA, ANR MN EMOCEAN, ANR ASTRID SESAME). He co-authored more than 200 articles and communications in peer-reviewed conferences and journals. |
 |
Pierre LermusiauxDr. Lermusiaux is Professor of Mechanical Engineering and Ocean Science and Engineering at MIT. He received a Fulbright Foundation Fellowship (1992), the Wallace Prize at Harvard (1993), the Ogilvie Young Investigator Lecture in Ocean Eng. at MIT (1998), and the MIT Doherty Chair in Ocean Utilization (2009-2011). In 2010, the School of Eng. at MIT awarded him with the Ruth and Joel Spira Award for Distinguished Teaching. He has made outstanding contributions in data assimilation, as well as in ocean modeling and uncertainty predictions. His research thrusts include understanding and modeling complex physical and interdisciplinary oceanic dynamics and processes. With his group, he creates, develops and utilizes new mathematical models and computational methods for ocean predictions and dynamical diagnostics, for optimization and control of autonomous ocean systems, for uncertainty quantification and prediction, and for data assimilation and data-model comparisons. He has participated in many national and international sea exercises. He has served on numerous committees and organized large meetings and workshops. He is associate editor in three journals. He has more than hundred twenty refereed publications. |
 |
Maria J. MolinaDr. Maria J. Molina is an Assistant Professor within the Department of Atmospheric and Oceanic Science at the University of Maryland, College Park. Her research group focuses on climate and extremes data science, including extending Earth system prediction, understanding genesis of extremes, and uncovering climate patterns. Maria is also affiliated with the National Center for Atmospheric Research in Boulder, Colorado and serves as a member of the American Meteorological Society Board on Representation, Accessibility, Inclusion, and Diversity. |
 |
Maike SonnewaldDr. Maike Sonnewald is a physical oceanographer, interested in how we bring theoretical constructs and inferences together with observations to meet the needs of modern society. Combining domain knowledge with advanced techniques from data science, she aims to create new insight and accelerate exploration. She primarily sees herself as a physical oceanographer, but has a formal background in computer science/data science, as her thesis sponsored by the EPSRC was joint between the very diverse National Oceanography Centre, Southampton, and the excellent Institute for Complex Systems Simulation. She joined MIT as a Postdoctoral Associate working with Carl Wunsch, Patrick Heimbach and Steph Dutkiewitz, before going to Princeton University as an Associate Research Scholar. She holds an associate position at the NOAA Geophysical Fluid Dynamics Laboratory, and is an Affiliate Assistant Professor at the University of Washington. She has held visiting positions at Harvard University, and the University of Texas (UT) at Austin. |
