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Quoc Le

Co-Founder, Discovery Loop

Search every verified Quoc Le interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Quoc Le, co-founder of Discovery Loop and former Google Fellow and Vice President at Google DeepMind, has recently discussed his departure from Google and his new company’s mission to apply AI to scientific and engineering discovery, including drug discovery and material science. In an October 2026 interview as a founding member and judge for the Vietnam AI Stars competition, he described the decision to leave Google as a significant step driven by a belief in this mission, and he advised startup contestants to adopt a more global mindset, noting that AI is more difficult and expensive to build than previous technologies. He also stated that he works on problems that are important to him and encouraged others to be ambitious and take calculated risks. In August 2026 appearances, Le offered perspectives on Vietnam’s role in AI and semiconductors. He suggested that Vietnam should invest more in artificial intelligence than in semiconductors, which he described as very expensive, and he identified AI’s potential as largely untapped. He also advocated for open-source approaches as a long-term direction for Vietnam, arguing that they foster knowledge exchange and help attract talent. In a separate conversation, he discussed the qualities of scientists and innovators, saying that innovators build on scientific curiosity by seeking large-scale impact, and he noted that formal credentials like a college degree are less important than talent, interesting questions, and dedication.

Recent appearances

  • [VAS 2026] Interview with Dr. Quoc Le, VAS Founding Member & Judge | Co-founder of Discovery Loop

    🌍 𝗦𝘁𝗮𝘆 𝗮𝗺𝗯𝗶𝘁𝗶𝗼𝘂𝘀, 𝘁𝗵𝗶𝗻𝗸 𝗹𝗼𝗻𝗴-𝘁𝗲𝗿𝗺, 𝘁𝗮𝗸𝗲 𝗰𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗲𝗱 𝗿𝗶𝘀𝗸𝘀, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝘄𝗶𝘁𝗵 𝗮 𝗴𝗹𝗼𝗯𝗮𝗹 𝗺𝗶𝗻𝗱𝘀𝗲𝘁 - Dr. Quoc Le 👏🏻 We are honored to have 𝗗𝗿. 𝗤𝘂𝗼𝗰 𝗟𝗲, 𝗖𝗼-𝗳𝗼𝘂𝗻𝗱𝗲𝗿 𝗼𝗳 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗟𝗼𝗼𝗽 (Former Google Fellow and Vice President at Google DeepMind), as a 𝗩𝗶𝗲𝘁𝗻𝗮𝗺 𝗔𝗜 𝗦𝘁𝗮𝗿𝘀 𝗙𝗼𝘂𝗻𝗱𝗶𝗻𝗴 𝗠𝗲𝗺𝗯𝗲𝗿 𝗮𝗻𝗱 𝗚𝗿𝗮𝗻𝗱 𝗙𝗶𝗻𝗮𝗹 𝗝𝘂𝗱𝗴𝗲. 💡 As part of the Vietnam AI Stars Grand Final in Silicon Valley, we spoke with Quoc Le about what inspired him to take the entrepreneurial leap and co-found Discovery Loop, as well as his advice for startups competing globally and the research community. 🎥 Hear Quoc Le’s perspectives and advice in the…

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  • As AI Enters the Discovery Era, Where Should Vietnam Stand? | Dr. Quoc Le | MOMENTUM EP06

    Don't forget to subscribe to Leader Atlas: https://www.youtube.com/ @LeaderAtlas Watch the MOMENTUM playlist here:    • MOMENTUM   Where should Vietnam stand when AI enters the Discovery era? | Dr. Le Viet Quoc | MOMENTUM EP06 “Vietnam should start with chip design.” – Dr. Le Viet Quoc, Co-founder of Discovery Loop, former Google Fellow at Google DeepMind The emergence of technologies like AlphaChip further demonstrates the rapidly changing boundaries between AI and semiconductors: AI not only operates on chips, but can increasingly participate directly in the chip design process. Momentum…

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  • Before leaving Google, Quoc Le shared his vision for the future of AI | MOMENTUM 07

    One of the breaking news in AI just happened. Google Fellow Quoc Le, alongside Jeff Dean and two other pioneers behind Google Brain, has announced the launch of Discovery Loop - a new AI company with the ambitious goal of accelerating scientific discovery. Before this announcement, WORLD.V had the opportunity to sit down with Quoc Le for an in-depth conversation about the future of AI. In this episode, Quoc shares why every breakthrough begins with curiosity, how Google Brain built a culture that encouraged bold ideas, and how projects like AlphaChip, Meena, AlphaGeometry, and AlphaProof ev…

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  • Afternoon - From System 1 Thinking to System 2 Thinking by Dr. Quoc Le

    Abstract: In this talk Quoc Le will discuss some of the most exciting works in the direction of System 2 thinking. Previously, most AI models were limited to pattern matching, and hence can only do System 1 thinking. Through a combination of recent work on advanced reasoning, such as Chain-of-Thought, Self-consistency, AlphaGeometry and AlphaProof, we begin to see the potential of having machines that can think and reason to solve highly complex problems. This talk will present work done by many people at Google.

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  • Fireside Chat with Quoc Le, Google DeepMind's Distinguished Scientist

    James Cham, Bloomberg Beta's Founding Partner chats with Quoc Le, Google DeepMind's Distinguished Scientist on what's next for Gen AI. © Industrial AI Conference (IAC) Stanford 2024

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  • CVPR2021: ExtremeVision Workshop: Quoc Le

    Quoc Le: Neural Architecture Search and Meta Pseudo Labels.

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  • Quoc Le: Neural Architecture Search and Meta Pseudo Labels

    EECS Colloquium Wednesday, April 14, 2021 4:00​​ - 5:00 pm Quoc Le Principal Research Scientist Google Brain Abstract I will talk about our recent works on computer vision: Smart architecture search methods to discover a highly efficient model called EfficientNet, and EfficientNetV2 which are much more efficient than previous image classification models. Using unlabeled data to improve accuracy and robustness of vision models. The method, named "Noisy Student", requires generating pseudo labels on unlabeled data and using them to train a student. The method significantly improves the robus…

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  • Heroes of NLP: Quoc Le

    Heroes of NLP is a video interview series featuring Andrew Ng, the founder of DeepLearning.AI, in conversation with thought leaders in NLP. Watch Andrew lead an enlightening discourse around how these industry and academic experts started in AI, their previous and current research projects, how their understanding of AI has changed through the decades, and what advice they can provide for learners of NLP. Looking to build a career in NLP? Enroll in the DeepLearning.AI NLP Specialization: https://bit.ly/33BaG0b Comment below with links if you recognize any of the papers referenced in this in…

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  • Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366

    Today we’re super excited to share our recent conversation with Quoc Le, a research scientist at Google, on the Brain team. Quoc has been very busy recently with his work on Google’s AutoML Zero, which details significant advances in automated machine learning that can “automatically discover complete machine learning algorithms just using basic mathematical operations as building blocks.” Another major theme of this conversation is semi-supervised learning, discussing his work on the paper “Self-training with Noisy Student improves ImageNet classification.” Finally, we discuss how his inte…

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  • Google Brain AutoML: a New Approach to Help Research & Business | by Quoc Le | Kaggle Days SF

    "Google Brain AutoML: a New Approach to Help Research and Business" Quoc Le Kaggle Days San Francisco held in April 2019 gathered over 300 participants to meet, learn and code with Kaggle Grandmasters, and compete in our traditional offline competition. This edition is presented by LogicAI with sponsorship from Kaggle and Google Cloud. Kaggle Days are a global series of offline events for seasoned data scientists and Kagglers created by LogicAI and Kaggle. About LogicAI: LogicAI as a creator of Kaggle Days is a sole partner of Kaggle to build global offline community. LogicAI is a bout…

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  • Kaggle Coffee Chat: Quoc Le | Kaggle

    In this issue of Coffee Chat, Rachael talks to Quoc Le, a Research Scientist at Google working on automated machine learning. They talk about auto ML, neural architecture search and limitations of current approaches. SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_... About Kaggle: Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data.…

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  • Deep Learning Breakthrough at AI Frontiers 2018: Quoc Le, Sumit Gulwani

    Quoc Le (Google Brain): Using Machine Learning to Automate Machine Learning Sumit Gulwani (Microsoft): Programming by Examples

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Other executives at Discovery Loop

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