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🐻Berkeley BAIR
July 1, 2026
AI Safety

2026 BAIR Graduate Showcase

Overview

Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph. graduates whose curiosity, creativity, and perseverance have pushed the frontiers of artificial intelligence and machine learning.

Key Takeaways

  • Their work spans the breadth of modern AI - robotics and embodied intelligence, large language models and reasoning, computer vision, generative modeling, AI safety, human-AI interaction, AI for science and healthcare, and much more.

    Along the way, they have published influential research, built systems with real-world impact, mentored their peers, and shaped the BAIR community for the better.

  • What's next: Member of Technical Staff at Physical Intelligence Charlie Snell Email: csnell22@berkeley.
  • edu Website: https://devinguillory.

    com Advisor(s): Trevor Darrell Research Blurb: Accounting for data shifts in computer vision models What's next: Building collaborative AI systems, looking for conspirators.

  • Combined, these interventions facilitate building LLMs that minimize societal harms, and maximize benefits to a wider range of real-world users.

    What's next: Postdoctoral fellow at Princeton CITP Grace Luo Email: graceluo@berkeley.

  • What's next: Member of Technical Staff at OpenAI Haozhi Qi Email: hqi@berkeley.
2026 BAIR Graduate Showcase

Their work spans the breadth of modern AI - robotics and embodied intelligence, large language models and reasoning, computer vision, generative modeling, AI safety, human-AI interaction, AI for science and healthcare, and much more. Along the way, they have published influential research, built systems with real-world impact, mentored their peers, and shaped the BAIR community for the better. Now they are headed everywhere ideas travel: to faculty and postdoctoral positions, to industry research labs, and to startups of their own founding - and several are still exploring what comes next and would love to hear from you.

We are proud of everything they have accomplished at Berkeley, and we can't wait to see what they do next! Thank you to our friends at the Stanford AI Lab for this idea!

Baifeng Shi Email: baifeng_shi@berkeley. io/ Advisor(s): Trevor Darrell Research Blurb: I work on building generalist vision and robotic models. What's next: Member of Technical Staff at Physical Intelligence Charlie Snell Email: csnell22@berkeley.

For more details please read the original article at Berkeley BAIR.

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