Pirmin LEMBERGER is scientific director at onepoint. He supervises the team of PhD students and interns in the TALia laboratory. He holds a PhD in theoretical physics from the Swiss Federal Institute of Technology in Lausanne (EPFL). His publications in this field concern correlated fermion systems and the application of quantum field theory techniques to statistical physics. After several years as an IT expert at SQLI (consulting company in Paris), he joined the data.ia community at onepoint (digital transformation architects) as a data science team leader. For the past few years, he has been particularly interested in deep learning, graph neural networks and NLP from an applied mathematics perspective. He is the lead author of the book Big Data et Machine Learning (Dunod 2019) and co-author of the book Le traitement automatique des langues (Dunod 2020). He is a contributor to the Towards Data Science blog.

Keywords: Deep learning, graph neural networks, NLP

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