The webinar on May 18th will deal with the topic: “Interpretability of AI: principles and case studies” and will be presented by Christophe Geissler and Vincent Margot.

 

Christophe Geissler is a graduate of Ecole Normale Supérieure Ulm (Mathematics and IA) and holds a degree as a Chartered Actuary. His fields of interest and expertise include interpretable Machine Learning. Before Advestis, he had successfully held senior positions in Financial Sciences for 30 years.

 

Vincent Margot is Machine Learning Engineer; he holds a PhD in Interpretable Machine Learning from Sorbonne Université.

 

Advestis is a Contract Research Organization (CRO) with a deep understanding and practice of Interpretable AI and Machine Learning techniques. As research partners, Advestis leverages the specialized R&D and innovation resources of its clients. Clients and sponsors increasingly rely on contract research services for cost effective and timely co-developments. Their experience and focus are predominantly concentrated in two key sectors: financial sciences and hydrogen sciences where they provide contract research services to financial institutions and hydrogen value chain operators.