Guillaume Guex is a Junior Lecturer in the Department of Language and Information Sciences at the University of Lausanne. His formation consists in a BSc in Mathematics (EPFL),  a MSc in Statistics (UNINE), and a PhD in Applied Mathematics to Geography (UNIL), which gave him working knowledge in Applied Mathematics, Statistics and Machine Learning. During his formation, he particularly liked to find synergies between different research fields, and his collaborations in Geography, Social Sciences, History, French and Linguistics brought him to work with various scientific communities. After a first postdoctoral research at the Catholic University of Louvain, Belgium, strongly focused on Machine Learning, he joined the Department of Language and Information Sciences (SLI-UNIL) in 2019. His current research is focused on developing new Computational Linguists and Natural Language Processing methods in order to help at Linguistics and Digital Humanities researchers. He is particularly interested in recent developments in word embedding methods and works to make them accessible outside the NLP field.



Programming Languages


  • Applied Mathematics
  • Statistics
  • Machine Learning
  • Programming
  • Computational Linguistic


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