Скачать или смотреть The Future of AI & Machine Learning | The Python Exchange February 2025

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Guest Panelist: Gaël Varoquaux

Title: “skrub for tables: Less wrangling, more machine learning”

Bio: Gaël Varoquaux is a research director working on data science at Inria (French computer science national research) where he leads the Soda team. He is also co-founder and scientific advisor of Probabl.

Varoquaux's research covers fundamentals of artificial intelligence, statistical learning, natural language processing, causal inference, as well as applications to health, with a current focus on public health and epidemiology. He also creates technology: he co-founded scikit-learn, one of the reference machine-learning toolboxes, and helped build various central tools for data analysis in Python.

Varoquaux has worked at UC Berkeley, McGill, and university of Florence. He did a PhD in quantum physics supervised by Alain Aspect and is a graduate from Ecole Normale Superieure, Paris.



At Don't Use This Code, we want to create a unique opportunity to see Python succeed and thrive within the DOE. In collaboration with an organizing committee of Python users and advocates from various DOE sites, we host regular conversations on the topic of Python in order to create a new resource for scientists, researchers, and technical staff. Our goal is to share best practices and build a strong, lasting community for Python users within the Department of Energy National Lab system.

If you, or someone you know, might make a great panelist, we'd love to get in touch! Just send us an email at [email protected] if you would like to participate or have any questions.