Nicholas X. RandallTeaching & PhD Courses CCMX Advanced Course - Instrumented Nanoindentation MSE-656 This course is intended for current nanoindentation users who want to gain the experience and knowledge required to extract useful data from challenging sample materials. It is also intended for users of conventional indentation methods who wish to add this approach to their portofolio of methods.
Nicola CasatiTeaching & PhD Courses Multidisciplinary NPs characterization MSE-676 Four experienced scientists will guide students into the world of NPs characterization with different approaches, from laboratory characterization to X-ray/neutron scattering and electron microscopy. The main knowledge acquired will concern the overview of possible complementary technique. Powder Diffraction School - Modern Syncrotron Methods MSE-663 Modern synchrotron-radiation methods not only provide dat
Pedro Correa FernandezPedro Correa Fernández is a Doctoral Candidate in Architecture at Columbia GSAPP. Before joining GSAPP, he was an adjunct professor at the Architecture School of Universidad Católica de Chile where he taught seminars and lectures on architecture history and related epistemological, aesthetic, and political issues. His current work examines the mediations between technical knowledge, artisanal crafts, and global industrial capitalism in early nineteenth-century Latin America.Pedro holds an architecture degre
Jean-Charles Louis André CoustyTeaching & PhD Courses Automated analytical and synthetic chemistry 1 ChE-602 The course gives a general understanding of lab automation theory and practical knowledge. It is structured to integrate theoretical foundations, hands-on practical exercises (e.g., Arduino programming), and individualized project analysis.
Stefano Di LeoneTeaching & PhD Courses Automated analytical and synthetic chemistry 1 ChE-602 The course gives a general understanding of lab automation theory and practical knowledge. It is structured to integrate theoretical foundations, hands-on practical exercises (e.g., Arduino programming), and individualized project analysis.
Olga FinkTeaching & PhD PhD Students Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei Past EPFL PhD Students Ismail Nejjar, Mengjie Zhao Courses Data Science for infrastructure condition monitoring CIVIL-332 The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real
Elisabeth MuellerTeaching & PhD Courses Multidisciplinary NPs characterization MSE-676 Four experienced scientists will guide students into the world of NPs characterization with different approaches, from laboratory characterization to X-ray/neutron scattering and electron microscopy. The main knowledge acquired will concern the overview of possible complementary technique.
Milad SabzehparvarExpertise
Scanning Electrochemical MicroscopyPlasmonic PhotocatalysisMaterial ScienceOpen MSc positions (2023-2024):(1) Design and Fabrication of a Scanning Electrochemical Microscope (SECM) for Photo-Electrochemical Imaging of Nanostructures, (2) Data and Image Analysis of Scanning Electrochemical Microscopy (SECM)
Expertise
Scanning Electrochemical MicroscopyPlasmonic PhotocatalysisMaterial ScienceOpen MSc positions (2023-2024):(1) Design and Fabrication of a Scanning Electrochemical Microscope (SECM) for
Anne-Florence Raphaëlle BitbolI was trained in physics, and always had a strong interest in biology. I am broadly interested in understanding biological phenomena in a quantitative way, through physical concepts and mathematical and computational tools. I investigate the relative impacts of optimization and historical contingency in biological evolution, both at the scale of protein sequences and at the scale of microbial populations.Here is my research group website.Curriculum vitae Here is my complete CV. Professional experience:Since
Edoardo ChiarottiTeaching & PhD Courses Data Science & Causal Inference for Sustainability MGT-499 This class explores key climate questions through data. Students will learn to collect, clean, and analyze data, apply causal methods using Python, and communicate insights clearly. With a focus on sustainability, the course builds skills to avoid pitfalls and draw meaningful conclusions.
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