🧑💻🧑🏫 I'm recruiting a post-doc to work on Tabular Foundation Models, one of the hotest topics in AI, where we are at the leading edge team.inria.fr/soda/files/2... This is an opportunity to develop the next-level tabular AI, blending deep learning and tables.
Who's Who of AI
Gaël Varoquaux
Why they matter
Researcher with public evidence across AI business, AI research, Compute & infrastructure.
- AI signals
- 2 past 30d
- Sources
- 2 distinct domains
- Discussions
- 2 past 30d
- Latest signal
- 12d ago
Research & code: Research director @inria
►Data, Health, & Computer science
►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social
►Sometimes does art photography
►Physics PhD
What they're sharing
team.inria.fr
An introduction to Machine Learning for health and epidemiology — Health ML Tutorial 0.1 documentation gael-varoquaux.info
Data science is not AI, but it is its genesis and its new frontier blog.probabl.ai
Can AI Become a Real Data Scientist? | Gaël Varoquaux on scikit-learn, Probabl & Scientific Judgment youtube.com
Articles & links
Materials for my course on machine learning for health data: runnable examples of ML on health data, to get people thinking about model flexibility and biases gael-varoquaux.info/health_ml_tu...
In this high-level yet detailed blog post, I expend on the statistics that hold together AI and data science: blog.probabl.ai/data-science...
A fun podcast with Maxime Gabella about our dreams about AI. The next frontier of AI is building agents that use statistical learning to tackle problem-specific challenges from data. Agents come with promises, but they need a statistical harness, as @probabl.ai's www.youtube.c…
Their own posts
Recent commentary
Modern AIs tackle different questions than data science on industry or scientific applications. Statistical thinking, front and center in data science, is often hidden in AI. But it’s just as crucial. And too often, we treat data science or AI as merely a programming exercise
Their network
In Gaël Varoquaux's orbit
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