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).
Tanja Christina Käser JacoberTanja Käser is an assistant professor at the EPFL School of Computer and Communication Sciences (IC) and head of the D-VET laboratory. Her research lies at the intersection of machine learning, data mining, and education. She is particularly interested in creating accurate models of human behavior and learning.Prior to joining EPFL, Tanja Käser was a senior data scientist with the Swiss Data Science Center at ETH Zurich. Before that, she was a postdoctoral researcher with the AAALab at the Graduate School of Education of Stanford University.
Tanja Käser received her PhD degree from the Computer Science Department of ETH Zurich. In her dissertation, completed at the Computer Graphics Laboratory, she focused on user modeling and data mining in education, which was honored with the Fritz Kutter Award 2015.
Mirko MarrasMirko Marras was born on April 19, 1992 in Iglesias (Italy). He is a Postdoctoral Researcher at the Digital Vocational Education and Training • Machine Learning for Education Laboratory of EPFL - Swiss Federal Institute of Technology in Lausanne (Switzerland). He received a PhD in Computer Science in 2020 and a MSc Degree in Computer Science (summa cum laude, 18 months) in 2016, from University of Cagliari (Italy). He received the Computer Science Engineering certification from the University of Pisa (Italy) in 2016.
In 2015, he was involved as Researcher within UnitelCagliari (Italy) for the ELIOS project (MIUR, 1ME). In 2017, he spent five months as Visiting Scholar at EURECAT (Spain), collaborating with the Data Science and Big Data Analytics Unit on the DECODE project (EU, 16P, 5ME). In 2018, he spent three months as Visiting Scholar within the University Institute for Intelligent Systems and Digital Applications in Engineering (SIANI) at the Universidad de Las Palmas de Gran Canaria (Spain). In 2019, he spent two months at the Department of Computer Science and Engineering of the New York University: Tandon School of Engineering (U.S.A). He has been involved as Researcher in the ILEARNTV project (MIUR, 6P, 10ME) since 2018. From 2019, he is referral of the University of Cagliari (Italy) for two work packages under the EDUC project (EU, 6P, 5ME). He has been teaching assistant for the “Computer Networks” course since 2017 and thesis assistant since 2018 at the University of Cagliari (Italy).
In 2014, he was recognized as the best third-year student of the BSc Program in Computer Science of the University of Cagliari (Italy). In 2016, he was recognized as the best MSc student of the Faculty of Science and one of the top 12 MSc students of the same University. In 2018, he got to the podium of the Call for Visionary Ideas - Education Section event organized by Nesta Italia. He has received the Best Poster Award at the European Semantic Web Conference 2017 (ESWC2017), the Demo Honorable Mention at The Web Conference 2018 (WWW2018) and the Best Paper Award at Didamatica Conference 2018. He has been awarded two Erasmus PlaceDoc scholaships to spend 5 months at EURECAT (Spain) and 3 months at Universidad de Las Palmas de Gran Canaria (Spain), respectively. Moreover, he has been awarded a GlobusDoc scholarship to spend 2 months at New York University: Tandon School of Engineering (U.S.A).
His current research focuses on Data Mining and Machine Learning with a focus on Education. He has co-authored papers in top-tier international journals, such as Pattern Recognition Letters (Elsevier), Computers in Human Behavior (Elsevier), Information Processing & Management (Elsevier), and IEEE Cloud Computing. His research activity also brought him to give talks (e.g., ECIR 2019 and INTERSPEECH 2019), demos (e.g., TheWebConf 2018 and AVI 2020), and tutorials (e.g., UMAP 2020 and ICDM 2020) at several international conferences. He is part of the program committee of main international conferences, such as ACL, AIED, ECML-PKDD, EDM, EMNLP, ITICSE, INTERSPEECH, ICALT, and UMAP. He has been also acting as a reviewer for top-tier journals, such as Pattern Recognition Letters and IEEE Transactions on Image Processing. He has been also co-chairing the BIAS@ECIR2020 and BIAS@ECIR2021 workshops. He has served as a guest editor for a special issue of Information Processing & Management (Elsevier) and Future Generation Compter Systems (Elsevier). He has been involved in several national and European projects (e.g., iLearnTV, DECODE, EDUC). He is a member of several national and international associations, including CVPL, AIxIA, IEEE, and ACM.
Georgios VernikosI am a first-year Ph.D. student at the Electrical Engineering department at EPFL and a research assistant at HEIG-VD, in Switzerland. My Ph.D. advisor is Andrei Popescu-Belis. I am interested in machine translation and monolingual/multilingual language models.Before coming to Switzerland, I obtained my diploma (combined BEng and MEng) in Electrical and Computer Engineering and my MSc in Data Science and Machine Learning from the National Technical University of Athens in Athens, Greece. In my Master’s thesis I worked on Adversarial Fine-Tuning of Pretrained Language Models under the supervision of Andreas Stafylopatis. I was also working as a Machine Learning Engineer at the Greek startup DeepSea Technologies for 1.5 years.
