Thomas Wolf is Co-Founder and Chief Science Officer at Hugging Face, the leading open-source AI platform with over 10 million users and 1 million model repositories. He created the widely-used Transformers and Datasets libraries that democratize access to machine learning models.

Thomas studied physics at Ecole Polytechnique and earned a PhD from Sorbonne University, then worked as a patent attorney for 5 years before co-founding Hugging Face in 2016. He previously conducted research at Lawrence Berkeley National Laboratory and was accepted to MIT for doctoral studies.

Thomas authored the O'Reilly book Natural Language Processing with Transformers and led the BigScience Workshop that created BLOOM, a 176 billion parameter multilingual language model. He serves as area chair at major AI conferences and is a prolific educator with blog posts totaling over 250,000 views.

Hugging Face raised $235M Series D in 2023 at a $4.5B valuation from Salesforce, Google, Amazon, Nvidia, and IBM, with total funding of $400M. The company serves 10,000 customers and over 50,000 organizations including Meta, Google, Microsoft, and Apple.

Hugging Face hosts over 1 million AI models and 10,000 datasets used by 5,000+ research organizations globally. Thomas launched LeRobot to democratize robotics and partners with AWS, Microsoft Azure, and Nvidia to expand AI accessibility worldwide.