About

Martin Jaggi is a highly accomplished Tenure-Track Assistant Professor at EPFL with over 12 years of relevant experience in Machine Learning, Optimization, and Text Understanding. He currently holds the position of Tenure-Track Assistant Professor in Computer Science at EPFL, where his primary focus is on Machine Learning, Optimization, Unsupervised Learning, and Natural Language Processing. Before joining EPFL, Martin served as the Chief Scientist and Co-Founder of spinningbytes ag, where he was responsible for Machine Learning and Text Analysis. He also worked as a Postdoc at ETH Zurich, where he honed his expertise in Machine Learning. Martin has a strong educational background, having earned a PhD in Computer Science from Eidgenössische Technische Hochschule Zürich, where he studied Machine Learning and Optimization. He also holds an MSc in Mathematics and Theoretical Computer Science from the same institution and a Mathematics and Computer Science degree from Queen Mary, U. of London. Martin is highly skilled in ML, NLP, and research, and his expertise in these areas is reflected in his impressive track record of publications. He has authored several papers on Machine Learning, Optimization, and Text Understanding, which have been published in top-tier academic journals. Overall, Martin Jaggi is a highly accomplished researcher and academic with a wealth of experience in Machine Learning, Optimization, and Text Understanding. His impressive educational background, combined with his extensive industry and academic experience, makes him a valuable asset to any organization looking to leverage the latest advances in ML and NLP.