Associate prof, MIT EECS/CSAIL 💻🔬🦥🧀🏋️♀️🎼🐈🎻🏳️🌈 he/him/his — justinmsolomon@🟦🌤️🦋📲
Somerville, MA
Joined October 2011
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Just wrapped up filming the last lecture for my graduate "Shape Analysis" course (@MIT @MITEECS @MIT_CSAIL 6.838)! Check out this playlist for 36 hours, 57 minutes, 39 sec of [admittedly idiosyncratic] lectures covering topics in applied geometry: youtube.com/playlist?list=PL… 🎉🚨🔥💻
Yikes @Starbucks @Delta my flight is in two days, not tomorrow. This spam message really scared me!
Justin Solomon retweeted
Andy is right. There absolutely ARE mathematicians excited about using AI for further exploration, including the guest we talked to today. But to my mind, that's a good reason for the labs to not just use their internal models to nuke the field with proofslop.
Some notes on what's going on in math with AI, based on this phenomenal podcast episode:
--There are infinite possible facts in math, and the whole point is to allocate our attention and effort to a tiny subset that humans deem most interesting and valuable to learn
--We are currently tremendously bandwidth-constrained on verifying mathematical results because we still rely on human experts to tell us whether a result, even if we assume it's correct, is interesting and valuable
--If you listen to this episode, one of the things that is so striking is how interesting, curious, and helpful the guest, Justin Solomon is. He is nowhere close to being replaced by AI. He's a total delight!
This is a really great episode, I strongly recommend. I queued it up for my zone 2 run today but it was so exciting that I defnitely ended up in zone 3 at least.
Justin Solomon retweeted
Some notes on what's going on in math with AI, based on this phenomenal podcast episode:
--There are infinite possible facts in math, and the whole point is to allocate our attention and effort to a tiny subset that humans deem most interesting and valuable to learn
--We are currently tremendously bandwidth-constrained on verifying mathematical results because we still rely on human experts to tell us whether a result, even if we assume it's correct, is interesting and valuable
--If you listen to this episode, one of the things that is so striking is how interesting, curious, and helpful the guest, Justin Solomon is. He is nowhere close to being replaced by AI. He's a total delight!
This is a really great episode, I strongly recommend. I queued it up for my zone 2 run today but it was so exciting that I defnitely ended up in zone 3 at least.
NEW ODD LOTS:
AI Is Upending The World Of Mathematics
@tracyalloway and I talk to Justin Solomon, associate dean for engineering education at MIT, about the state of both math and math education, as OpenAI rolls out proof after proof podcasts.apple.com/us/podcas…
Justin Solomon retweeted
NEW ODD LOTS:
AI Is Upending The World Of Mathematics
@tracyalloway and I talk to Justin Solomon, associate dean for engineering education at MIT, about the state of both math and math education, as OpenAI rolls out proof after proof podcasts.apple.com/us/podcas…
Justin Solomon retweeted
My inbox is being flooded with fully AI-generated emails from prospective students. I tried to work out why I can't bring myself to read them, and ended up with some thoughts and advice for writing cold emails in the age of AI.
My new post:
blekhman.substack.com/p/why-…
Justin Solomon retweeted
Siggraph 2027 TPC self nomination form can be found at docs.google.com/forms/d/e/1F…
Due by July 31th.
Justin Solomon retweeted
Thank you for promoting our workshop!! 🥰 If you’re at #SIGGRAPH2026 this year and want to do animation and a little bit of ✨magic✨, drop by our workshop this Thursday from 2-5:15pm (room 501 ABC)! Design, fabricate, and take home animations you can hold in your hands 🪄
FabObscura workshop in #SIGGRAPH2026 by @tichaesque and Maxine
When: 2:00pm-5:15pm, Thursday, 23 July 2026
Where: Room 501 ABC
Frontiers Workshop: Form and Function: A Hands-On Workshop on Computationally Designing and Fabricating Barrier-Grid Animations
s2026.conference-schedule.or…
Come join! Led by Kimia Nadjahi and friends!
Exciting news, geometers! 🌐
The Workshop Bridging Optimal Transport, Learning and Structured Data: Toward Geometric Distributional Learning, will take place in person on December 12 or 13 in Paris, France, as part of #NeurIPS 2026.
W/ @JustinMSolomon and team!
Justin Solomon retweeted
Going to the #SIGGRAPH2026 Fast Forward Session?
Here's a much better way to keep track of talks you want to see:
keenancrane.github.io/siggra…
Tap the talks you want to go to, then share (as Markdown) or save directly to your calendar.
Also flags conflicting times. ⚠️
Justin Solomon retweeted
Next week at #SIGGRAPH2026, we'll present "Fast Sparse Matrix Permutation for Mesh-Based Direct Solvers," with Behrooz Zarebavani, @ana_dodik, Changcheng Yuan, @serban, @jowens, Maryam Mehri Dehnavi, and @JustinMSolomon
Talk: Wed., July 22, 3:55 PM, Room 403-B (1/6)
Justin Solomon retweeted
Next week at #SIGGRAPH 2026, we'll present "Locality-Aware Automatic Differentiation on the GPU for Mesh-Based Computations," with @__lankylad__, @jrk, and @JustinMSolomon
Talk: Mon., July 20, 2:50 PM, Room 403-B
Paper: dl.acm.org/doi/10.1145/38113…
More in the thread below (1/7):
Justin Solomon retweeted
Go beyond AI applications and explore the mathematics that powers modern AI.
MIT Professional Education's Mathematics and Modeling for Modern AI course examines the mathematical foundations, modeling techniques, and machine learning concepts behind today's AI systems.
🔗 Learn more: professionaleducation.mit.ed…
#MIT #MITProfessionalEducation #Mathematics #AI @JustinMSolomon
Justin Solomon retweeted
Tomorrow at #CVPR2026
Come join our full-day tutorial on analytic understanding of diffusion models.
How do diffusion models generalize? What outputs can you expect from your generative model? Where should you direct resources to make it better?
This and much more on a full day tutorial with wonderful @yuancy @MasonKamb @CScarvelis @WangBinxu @ZKadkhodaie
Links in the reply.
🚀 I'm delighted to share an **open postdoc position** joint between our group at @MIT_CSAIL and @MITIBMLab, mentored by me, Ankit Gupta, @LChoshen, and friends; the start date can be as early as fall 2026.
We are excited for candidates with directions of their own in mind that links to our ongoing work. If you're interested, reach out ASAP ([email protected]) with a CV and description of the research you might do. Keep things short; refrain from AI "slop" as part of your inquiry.
Justin Solomon retweeted
Our ACM @siggraph 2026 Technical Papers Committee meeting in Chicago: Great discussions, great people, and great beer. Nothing replaces catching up in person. It was also my first time visiting the @UChicago, a really nice campus and an excellent venue.
Also got to celebrate a few accepted papers, my @mbzuai students will be in for a nice surprise :-)
Justin Solomon retweeted
Great to be at the in-person ACM SIGGRAPH Technical Papers Committee 2026 meeting at the @UChicago. Wonderful catching up with @siggraph friends and meeting new faces. Submissions keep growing, with a clear rise in AI image/video generation and agentic approaches, while traditional areas remain strong.
We also had thoughtful, intense discussions on responsibly incorporating AI into the review process while preserving the rigor and quality that make SIGGRAPH unique.
Truly an honor to serve. Thanks Miri Ben Chen (@TechnionLive ), @JustinMSolomon (@MIT ), and Leona Caffey (@siggraph ) for the incredible organization.
