Guillermo Ortiz JimenezI received my BSc. in telecommunications engineering (Valedictorian) from Universidad Politecnica de Madrid (UPM), Spain, in June 2015, and my MSc. in electrical engineering (Best Graduate, cum laude) from Delft University of Technology (TU Delft), The Netherlands, in August 2018. During my studies, I held positions at the Microwaves and Radar Group of UPM during 2015-2016 and at Philips Healthcare Research in Hamburg (Germany) during summer 2017. I am now working towards my PhD. thesis at the Signal Processing Laboratory 4 under the supervision of Prof. Pascal Frossard. My current research focuses on understanding deep learning by studying the complex interactions between datasets, architectures and optimization. In my work, I am providing a novel framework to design better and more reliable neural networks that exploit prior knowledge about the world. I am the recipient of a National Award for Excellence in Academic Performance from the Ministry of Education of Spain, a la Caixa Postgraduate Fellowship, and the Best Graduate award both at UPM and TU Delft.
Jiancheng YangI am a 4th-year PhD student in the Department of Electronic Engineering, Shanghai Jiao Tong University, advised by Prof. Bingbing Ni. I received BEng and MEng degree in the Department of Automation from the same university. Enrolled in a double master degree program, I spent 2 years in France with an Engineer degree. I was a visiting research fellow in Visual Computing Group at Harvard University. I am now visiting EPFL CVLAB, working with Prof. Pascal Fua.I focus on medical image analysis, 3D computer vision and trustworthy machine learning, with a clinical emphasis on lung cancer and thoracic diseases. I have (co-)first-authored more than 10 papers on top-tier journals / conferences, e.g., Cancer Research, CVPR, MICCAI and NeurIPS. I was a reviewer for more than 10 prestigious venues, a top-ranking participant for several AI competitions, and the lead organizer for MICCAI 2020 RibFrac Challenge.Updated on April, 2021.
Nicolas Henri Bernard FlammarionNicolas Flammarion is a tenure-track assistant professor in computer science at EPFL. Prior to that, he was a postdoctoral fellow at UC Berkeley, hosted by Michael I. Jordan. He received his PhD in 2017 from Ecole Normale Superieure in Paris, where he was advised by Alexandre d’Aspremont and Francis Bach. In 2018 he received the prize of the Fondation Mathematique Jacques Hadamard for the best PhD thesis in the field of optimization. His research focuses primarily on learning problems at the interface of machine learning, statistics and optimization.
