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Thomas Wolf

locationParis, France

The physicist-turned-patent-attorney who co-founded Hugging Face – now powering over a million developers and hosting 500k+ models – on a mission to make AI open, ethical and accessible to all.

InterestsInterests

AI / Machine Learning
ethical AI
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Impact

$4.5B+

Recent valuation

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250+

People employed

5M+

Customers served

$390M+

Funding raised

15+

Early stage investments

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15+

Early stage investments

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$390M+

Funding raised

5M+

Customers served

10+

Countries Operated In

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$70M+

Annual recurring revenue

Life Story

Early life and programming spark

Thomas was born in France. As a child, he began experimenting with early personal computers, teaching himself to program in C and assembly on his father’s machine, an early creative outlet that would quietly shape his future.

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mapWorld Map

Paris, France

FR

Thomas was born and raised in France. Paris is where he studied at École Polytechnique and completed his PhD in statistical and quantum physics. He also earned a law degree at Panthéon‑Sorbonne and studied intellectual property at CEIPI – all in the French capital.

presPress

Bloomberg.comBloomberg.com

Watch Hugging Face Looks to Open-Source AI Robotics

11th July 2025

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FortuneFortune

AI systems are unlikely to make the scientific discoveries some leading labs are hoping for, Hugging Face’s top scientist says

20th June 2025

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FortuneFortune

Hugging Face gets into the humanoid robot game with Pollen Robotics purchase

14th April 2025

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TechCrunchTechCrunch

The AI leaders bringing the AGI debate down to Earth

19th March 2025

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Business InsiderBusiness Insider

AI is creating 'overly compliant helpers,' not revolutionaries, said the top scientist at Hugging Face

7th March 2025

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TechCrunchTechCrunch

Hugging Face’s chief science officer worries AI is becoming ‘yes-men on servers’

6th March 2025

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FortuneFortune

Lessons on open-source AI from Hugging Face cofounder Thomas Wolf

8th October 2024

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mediaMedia

    career-milestoneCareer Milestones

    Co-founder, Chief Science Officer
    hugging face logo

    Hugging Face

    Hugging Face is a company that builds tools for machine learning, with a focus on natural language processing. They are known for their Transformers library, which provides thousands of pre-trained models to perform tasks on texts, images, and audio.

    caelndar

    2017 – Present

    European Patent Attorney
    cabinet plasseraud logo

    Cabinet Plasseraud

    Cabinet Plasseraud is an intellectual property firm that assists clients with patents, trademarks, designs, and copyrights. They provide services for protecting and defending intellectual property rights.

    caelndar

    2011 – 2017

    PhD
    upmc logo

    Pierre and Marie Curie University

    Pierre and Marie Curie University (UPMC) was a public research university in Paris, France, specializing in science, engineering, and medicine. It was a leading institution in scientific research.

    caelndar

    2008 – 2011

    Research Intern
    lawrence berkeley logo

    Lawrence Berkeley National Laboratory

    Lawrence Berkeley National Laboratory is a U.S. Department of Energy national laboratory that conducts unclassified scientific research. It is managed by the University of California and focuses on energy, environment, and computational sciences.

    caelndar

    2006

    Production engineer

    Alcan

    Alcan was a Canadian mining and aluminum company. It was once a major global producer of bauxite, alumina, and aluminum products.
    caelndar

    2005

    investmentEarly Stage Investments

    quote

    In science, asking the question is the hard part. Once the question is asked, often the answer is quite obvious, but the tough part is really asking the question, and [AI] models are very bad at asking great questions

    Yahoo Finance, 27th June 2025external-link-icon

    philanthropy-iconPhilanthropy

    LeMaterial

    An open source initiative aiming to facilitate AI for materials discovery releasing datasets, hash function and tools to explore the chemical space for material design

    User GroupDataset of 6.7 million entries
    User GroupSupports researchers globally
    User GroupSpeeds up materials discovery
    Calender2025 – Present
    CalenderGlobal
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