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France
2+ years of experience
I am a Ph.D. candidate in machine learning (explainable AI) at the AXA-Sorbonne University Trustworthy and Responsible AI Lab (TRAIL) within CNRSβs LIP6 lab. My research aims to explore and define a way to explain the differences between multiple ML models. In practice, models often experience updates (for various reasons: concept or data drift, business need...) and stakeholders might benefit from interpretable explanations describing what has changed between the two versions in terms of predictions. I also have a masterβs degree in applied maths and data science and have worked in the industry as a Data Scientist and an ML quant researcher. I am looking to build great products using AI, feel free to reach out on Linkedin