Giovanna AmbrosiniCurrent Position Senior Scientist, School of Life Sciences, Bioinformatics Competence Center, école Polythechnique Fédérale de Lausanne, Lausanne.Senior bioinformatician and software engineer with proven experience working in higher education institutions. Solid experience in scientific computing and web design. Proficient in physics and computational genomics, with a focus on high-throughput genomic sequencing data analysis (ChIP-seq, ATAC-seq, RNA-seq, scRNA-seq, and exome sequencing) and other types of
Herbert SheaEnseignement et PhD Doctorant·es actuel·les Myoung Ju Kim, Xintong Tong, Huapeng Zhang, Rohit Kadungamparambil John, Yichi Luo, Lucas Aurélien Jourdan, Ayana Mizutani, Donghyun Kim A dirigé les thèses EPFL de Michael Bodendorfer, Renato Krpoun, Samuel Rosset, Muhamed Niklaus, Kaustav Ghose, Samin Akbari, Vinu Lalgudi Venkatraman, Luc Maffli, Simon Dandavino, Tobias Bandi, Subha Chakraborty, Pietro Romano, Alexandre Poulin, Marianna Fighera, Nadine Besse, Alexis Pierre Henri Marette, Reto Wiesendanger, Fr
Johan AuwerxEnseignement et PhD Doctorant·es actuel·les Wenyu Liu, Maria Boulougouri, Giacomo Vincenzo Giorgio Von Alvensleben A dirigé les thèses EPFL de Pénélope Andreux, Mitsunori Nomura, Evan Graehl Williams, Hongbo Zhang, Virginija Jovaisaite, Elena Katsyuba, Karim Laurent Gariani, Adrienne Joëlle Laurence Mottis, Hao Li, Peiling Luan, Alexis Bachmann, Mario Romani, Xiaoxu Li, Alessia De Masi, Amélia Lalou A co-dirigé les thèses EPFL de Serge Thanh Son Ducommun, Laura Lukjanenko, Joanna Ratajczak, Angélique Sato
Kathryn Hess BellwaldKathryn Hess Bellwald received her PhD from MIT in 1989 and held positions at the universities of Stockholm, Nice, and Toronto before moving to the EPFL.Her research focuses on algebraic topology and its applications, primarily in the life sciences, but also in materials science. She has published extensively on topics in pure algebraic topology including homotopy theory, operad theory, and algebraic K-theory. On the applied side, she has elaborated methods based on topological data analysis for high-throughput screening of nanoporous crystalline materials, classification and synthesis of neuron morphologies, and classification of neuronal network dynamics. She has also developed and applied innovative topological approaches to network theory, leading to a powerful, parameter-free mathematical framework relating the activity of a neural network to its underlying structure, both locally and globally.In 2016 she was elected to Swiss Academy of Engineering Sciences and was named a fellow of the American Mathematical Society and a distinguished speaker of the European Mathematical Society in 2017. In 2021 she gave an invited Public Lecture at the European Congress of Mathematicians. She has won several teaching prizes at EPFL, including the Crédit Suisse teaching prize and the Polysphère d’Or.
