Associate Professor @UCIrvine, formerly @GeorgiaTech. Researcher in Computer Vision, Machine Learning, AI. PhD from @berkeley_ai. Views my own.
Joined November 2014
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Judy Hoffman retweeted
The last few years have been tough for those applying for faculty positions. I'm happy to announce that my department has an opening in AI and ML.
AI has historically been one of our strengths. Statistics is literally just two floors below, and we have centers and institutes like the AI in Science Institute and the Center for Machine Learning.
Perks include: a great research environment, a politics-free work environment, proximity to the tech hubs in LA and Orange County, ... did I mention the beach?
recruit.ap.uci.edu/JPF10341
Judy Hoffman retweeted
Objects in robot demos are awfully patient 🙃
We’ve spent months on tasks where they aren’t. Catching balls, pouring into a moving pot, taking a bottle from someone walking by.
Two additions helped π0.5, RTC, & VLASH handle dynamic manipulation! More from our CoRL'26 oral in 🧵
Daniel & Jimin ran 1,500+ physical robot evaluations to put it to the test, with 50 runs per reported success rate.
As always, we’re making everything public: tempo-robot.github.io/
Awesome work! Congrats @deepakpathak and team!! 🎉
Judy Hoffman retweeted
I’ll be presenting Emergence of Human to Robot Transfer today at 3pm and EgoVerse at 5:50! Come say hi at the poster sessions
Judy Hoffman retweeted
Check out Simar’s awesome internship work at @physical_int presented today at 3pm #RSS2026
Judy Hoffman retweeted
Congratulations to @berkeley_ai alumnus @deepakpathak who has been awarded the PAMI Young Researcher in Computer Vision Award!
This top award for young researchers in computer vision is given to two recipients yearly.
thecvf.com/?page_id=413#YRA
Judy Hoffman retweeted
Start your #CVPR2026 with a coffee and some hard truths ☕
Tomorrow morning, we're talking 'Bitter Lessons' -- hard-won wisdom our field has accumulated but rarely discusses
Come be part of a candid conversation👇
sites.google.com/view/Bitter…
Wed, 8:45am, Four Seasons Ballroom 4
Judy Hoffman retweeted
We are presenting WFM-Eval at two @CVPR 2026 workshops in Denver 📍
🗓️ Jun 3, Video World Models
Poster 9:50–10:40 AM, Exhibit Hall A
🗓️ Jun 4, Foundation Models Meet Embodied Agents
Poster 3:55–4:30 PM
Come say hi 👋
Work done with @AmberZhang99 @prithvijitch @judyfhoffman
Judy Hoffman retweeted
CRAFT hand🫳
1. Achieves all 33/33 dexterous grasps > 2x-20x $$ hands!
2. < $600
3. Handles fragile objects
4. Durable under contact
5. Open-sourced craft-hand.github.io/
@leo_lin6 & @shivanshpatel35 (on market; hire him🚀) will happily share anything else that you may need. Details in 🧵
🌟 Big shout out to @kenny__shaw (Leap & v2), @irmakkguzey (RUKA), @orcahand (ORCA), and many others who helped build this open research community. Thank you!
Judy Hoffman retweeted
@simar_kareer has grown into a leading researcher in robot learning. From EgoMimic to Human2Robot VLA at Pi, and now leading EgoVerse. Excited to keep building together and see what comes next!
A monumental effort that would not have been possible without @simar_kareer and @ryan_punamiya's leadership! Excited to see how this project grows 📈
Excited about the release of EgoVerse and looking forward to seeing what data the community will contribute! Now people can teach robots by passively collecting data as we move about the world. An important step towards scaling demonstration data! 🤖
Judy Hoffman retweeted
Teleop is so 2025. Ever since we unveiled EgoScale and the dexterity scaling law, it's been clear to us and the ecosystem that behavior cloning directly from humans is the way to break the curse of teleop. 2026 is all about scaling robot learning without robots.
Congratulations to @ryan_punamiya and @danfei_xu on this amazing accomplishment!! It's been a pleasure working together.
Proud advisor moment: Congrats to @ryan_punamiya for winning the Runner-Up (2nd place) of the prestigious CRA Undergraduate Research Award! cra.org/about/awards/outstan…
Judy Hoffman retweeted
Some properties of LLMs only emerge with scale, one of which is the ability to effectively generalize from diverse data.
During my internship @physical_int, we uncovered an emergent property of VLAs: as we scale up pre-training, VLAs can naturally learn from human video data!
Judy Hoffman retweeted
At the start of @simar_kareer's internship this year we set out to use human data to make VLAs better.
It turned out that once your VLA is pre-trained on enough diverse robot data...the simple thing just works!
Judy Hoffman retweeted
🚀 I’m hiring across multiple levels — AI engineers, senior IC/leads, and interns — to join me at @nvidia .
We’re building the next generation of high-performance, multimodal, and agentic AI systems across the full stack: models, kernels, compilers, and hardware.
You don’t need to be a CUDA expert (yet). If you’re exceptional in AI research, systems, training, RL, or agentic AI, you’re welcome here.
Apply to join our team: forms.gle/2wEFQ7GgZd2qekJD8
Judy Hoffman retweeted
Welcome to CDS, Associate Professor Greg Durrett (@gregd_nlp)!
Prof Durrett joins us from UT Austin. His research focuses on how to train large language models to reason, reflect, and extrapolate — and how to get them to be more creative.
nyudatascience.medium.com/me…
Judy Hoffman retweeted
Our organizing team welcomes your participation at our workshop this weekend!
Fiona Ryan @fionakryan (co-lead), Anshul Gupta @anshul624gupta, Evonne Ng, Shiry Ginosar @shiryginosar, Sangmin Lee @sangminlee777, Paul Liang @pliang279, Judy Hoffman @judyfhoffman, Jim Rehg @RehgJim, Louis-Philippe Morency @lpmorency
