Mats Julius StensrudTeaching & PhD PhD Students Ignacio Gonzalez Perez, Gellért Géza Perényi, Lorenzo Gasparollo, Julien David Laurendeau Past EPFL PhD Students Matias Janvin, Amit Sawant Courses Causal thinking MATH-352 This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology. Probability and statistics (
Rosane Moura Dos Santos BarrettinoEducation Ph.D. in Materials Science and Technology | "Development of a Novel Electrically Conductive FlameRetardant Bio-based Thermoplastic Polyurethane" 2012 – 2015 Polytechnic of Turin, Turin, Italy Master of Science in Engineering | “Preparation and Characterization of ThermoplasticElastomer Micro and Nanocomposites with Modify Tribology Properties†2009 – 2011 University of Applied Sciences of Southern Switzerland (SUPSI), Manno, Switzerland. BSc in Che
Gopal Narmada NaiduExpertise
Researcher with 8+ years of experience in computational physics and multiphysics modeling, focused on numerical simulation of light–matter interactions and photon propagation. Proficient in FEM, FDTD, and Monte Carlo methods to model energy conversion and optical behavior, with additional expertise in AI/ML techniques for model optimization and design exploration. Strong background in photonic devices, photo-thermal, thermo-optical effects, and nanostructure engineering. Adept at translating compl
Sangwoo KimSangwoo Kim is set to join EPFL as a Tenure Track Assistant Professor in September 2023. Prior to his appointment at EPFL, he served as a postdoctoral fellow in the Department of Mechanical Engineering at the University of California, Santa Barbara. He earned his graduate degree in Theoretical and Applied Mechanics from the University of Illinois at Urbana-Champaign, where his research delved into the relationships between statistics, geometry, and mechanical states in cellular matters. Currently, his research focus on fundamental understanding of biological and living systems, as well as the study of soft and active matter employing principles from mechanics and physics. His research interests encompass embryonic development, tissue morphogenesis, structure and mechanics of soft materials, inherent structure of amorphous materials, and non-equilibrium dynamics of active matter.
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
John Martin KolinskiDr. Kolinski studied Applied Mathematics (Sc.M.) and Applied Physics (Ph.D.) at Harvard University, completing a PhD under the supervision of L. Mahadevan and Shmuel Rubinstein on the role of air in droplet impact. John did his post-doc at the Hebrew University of Jerusalem in Israel supported by the Fulbright post-doctoral fellowship. At HUJI, he worked on interfacial instabilities in soft matter in the labs of Eran Sharon and Jay Fineberg. John continues his research into interfacial mechanics at EPFL in EMSI, his newly founded laboratory for the study of Engineering Mechanics of Soft Interfaces.
Du WenEducation PhD | Doctor of Philosophy, Mechanical Engineering 2020 – 2023 The University of Tokyo MEng | Master of Engineering, Power Engineering and Engineering Thermophysics 2016 – 2019 Xi’an Jiaotong University Bsc | Bachelor of Engineering 2012 – 2016 Xi’an Jiaotong University
Elisabeth AgoritsasExpertise
=> See my personal homepage for more content https://eagoritsas.wordpress.com.Statistical physics of classical disordered systems, with focus on specific classes of models:disordered elastic interfaces and random manifolds,mesoscopic elasto-plastic models (spatially-resolved and effectively mean-field versions),mean-field description of structurally disordered systems (e.g. glasses) in infinite dimensions,continuous random perceptron model.1D Kardar-Parisi-Zhang equation and its encompassing unive Elena RaveraTeaching & PhD Courses Terra Epidermis PENS-211 This transversal project aims to test around a case study chosen, the specifics of " reverse soil ." On a chose site, students will be invited to propose a single technical and architectural gesture, and synthesize their concept graphically.
Michael HerbstExpertise
For more information about our research, see https://matmat.org/research/.
Teaching & PhD PhD Students Niklas Frederik Schmitz, Anna Paulish, Bruno Ploumhans, Benedikt Menges Courses Error control in scientific modelling MATH-500 Errors are ubiquitous in computational science as neither models nor numerical techniques are perfect. With respect to eigenvalue problems motivated from materials science and atomistic modelling we discuss, implement and apply numerical techniques for e 