Robert WestRobert West is a tenure-track assistant professor of computer science at EPFL, where he heads the Data Science Lab. In his research, he develops and applies techniques in machine learning, computational social science, natural language processing, social network analysis, and data mining. Bob also collaborates closely with the Wikimedia Foundation, in his role as a Wikimedia Research Fellow. Bob’s work has won several awards, including best/outstanding paper awards at ICWSM’21, ICWSM’19, and WWW’13, a best-paper runner-up award at WWW’16, a Google Faculty Research Award, a Facebook Research Award, a Hewlett-Packard Graduate Fellowship, and a Facebook Graduate Fellowship. He is actively involved in the research community, e.g., as an Associate Editor of ICWSM and EPJ Data Science and as a co-founder of the Wiki Workshop (held at WWW and ICWSM) and the Applied Machine Learning Days. Bob received his PhD in Computer Science from Stanford University, his MSc from McGill University, Canada, and his undergraduate degree from Technische Universität München, Germany.[Last updated: 25 Aug 2021]
Stefana ParaschoTeaching & PhD PhD Students Jingwen Wang, Gabriel Vallat, Maxence Grangeot, Eleni Maria Skevaki, Wenqian Yang, Megi Sinani Courses Capitalizing on Uncertainty AR-809 SUMMER SCHOOL - Capitalizing on Uncertainty is a 6-day Summer school exploring uncertainty as a productive resource in design and fabrication through lectures, hands-on experiments, and the collaborative design and construction of a full-scale structure in a human-robot fabrication setting. Digital design and making: A criti
Alina KleimenovaTeaching & PhD Courses Physics project II PHYS-422 The student applies the competencies acquired during her/his studies in a research study developed in one of the laboratories of the physics section under the supervision of teacher of the section. The student is present during a whole day of the week in the laboratory during the semester.
Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Joelyn de LimaExpertise
Education ResearchPedagogical Professional DevelopmentInformal EducationAcademic communities
Joelyn de Lima is a scientist, educational developer, and researcher whose work bridges the natural sciences, higher education, and inclusive practice. Originally trained in the biological sciences, her early research focused on students’ conceptual and mechanistic understanding of evolution. She later transitioned into discipline-based education research and pedagogical development, bringing together scie
Christian GiangChristian Giang is a researcher at the Machine Learning for Education Laboratory (ML4ED), École Polytechnique Fédérale de Lausanne (EPFL) and the Laboratory for Technology and Media in Education, University of Applied Sciences and Arts of Southern Switzerland (SUPSI). He received the PhD degree in Robotics from EPFL and the BSc and MSc degrees in Electrical Engineering and Information Technology from ETH Zürich. His research focuses on the use of educational technologies in formal education.
Wenchao YueExpertise
Robotics, Medical Mechatronics, Medical Reconfigurable Robots, Soft Machine, Piezo Actuators/Sensors
Brief Biography Wenchao Yue is a Ph.D. candidate in Electronic Engineering at The Chinese University of Hong Kong (CUHK). He has received the PhD International Mobility for Partnerships and Collaborations Award (PhD IMPAC Award) 2024, the IEEE ROBIO Best Paper Finalist Award 2024, the Overseas Research Attachment Programme (ORAP Award) 2025, and the Professor Charles K. Kao Student Creativity (PCKK
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.
Sophia Reyes MurySophia a commencé en juillet 2019 au centre LEARN. Elle est la responsable de la communauté pour le projet One Thymio par Class ainsi que de la plateforme Roteco.
Elle a fait une licence en science de l’éducation et une maîtrise en formation des adultes à l'Université de Genève. Elle travaille également comme remplaçante dans les écoles primaires au DIP et en classe intégrée (éducation spéciale à l’OMP). Elle s'intéresse également à l'entrepreneuriat (Prix de la meilleure idée UNIGE, ancienne membre d’Impact hub Genève, ancienne membre de Geneus, formation chez Innosuisse...).
Jauwairia NasirI am a doctoral candidate and a Marie Curie ITN Fellow in the field of Robotics at Computer-Human Interaction for Learning and Instruction Lab at EPFL where I currently work towards building Human-Robot Interaction technologies, leveraging AI, to help improve learning environments for kids. I did my Masters in Electrical Engineering and Computer Sciences from KAIST, South Korea and my Bachelors in Electronics Engineering from School of Electrical Engineering and Computer Sciences (SEECS) NUST in Pakistan. During my Bachelors and Masters degrees, my research revolved around path planning algorithms for mobile robots and autonomous household robots for elderly, respectively.As the Women in AI (WAI) Education Lead in Switzerland, I organize WAI educational activities in the country such as WaiCAMPs and am also a part of WAI’s Global Education Task Force. I am passionate about causes such as safe and unbiased AI, education for all, and discrimination free society.
Helena KovacsHelena is a social scientist with an appetite for a wide variety of topics related to education. Her current work focuses on exploring changes in teaching methods and approaches, strategies of adaptability, and pedagogical innovations at EPFL. Next to this, Helena works on developing a better understanding of teaching and learning transversal skills, with a particular interest in teaching ethics across the engineering curriculum, and she also works on examining the aspects of project based learning from students' and teachers' perspectives. In her previous work, Helena has done research on characteristics of teacher learning in innovative learning environments in schools across Hungary and Portugal, and she has also worked on studying identity formation through curricular material, such as history and language textbooks, across the Balkan countries. Helena holds a PhD in educational sciences obtained as a Marie Skłodowska-Curie fellow from Eötvös Loránd University in Budapest and from University of Lisbon, and a MA in educational policy and management from Aarhus University and Deusto University thought the Erasmus Mundus scholarship. She has worked as a consultant for Technopolis Group in UK and prior to that Helena was a trainee with the Directorate -General for Education and Culture at the European Commission.
