Alexandra Corina NiculescuEducational expert with 15 years of experience in multicultural environments, I take my passion from supporting learners in improving their performance in achievement settings. Having worked for or collaborated with prestigious academic, governmental and non-profit institutions, I take a multi-disciplinary approach on education with insights from psychology, medical education and organizational management. During my research and teaching, academic coaching, curriculum design or consultancy, I value the human aspect of education and focus on the role of emotions and the value of providing feedback for better performance. In my approach, success is the outcome of an interaction between what characteristics a learner brings in and the amount of support provided by the environment. In other words, academic success is a matter of finding the most suitable educational approaches of engaging the learner in the learning process.
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Devis TuiaI come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.
Julien Lafontaine CarboniJulien Lafontaine Carboni is an architect. They graduated at ENSA Paris-Malaquais and currently pursue a PhD research at the ALICE Laboratory, EPFL. Julien published in several architectural, philosophical and anthropological journal such as Architecture and Culture, and Tabula Rasa. They investigates non-visual epistemologies to thread spatial histories. Bodies, gestures and words enact and perform spatialities, implying other forms of historicity concealed by the architectural disciplinarization. Thus, their aim is to replace architectural political agency in gestures themselves, while proposing a critical architectural historiography and theory.
