Don’t forget: Apply to join IPAM at UCLA for Spring 2026! Long Program: Multi-Fidelity Methods for Fusion Energy 📅 March 9 – June 12, 2026 Deadline for core participation: October 9, 2025 Apply: lnkd.in/dhGYzfgK Webinar recording: lnkd.in/gBnYAV_2

New lecture series, "Embracing Stochasticity in Electrochemical Modeling" online: www.YouTube.com/IPAMUCLA The week zoomed in to interactions of dual layers of molecules, special attention to lithium ion batteries. Hongbo Zhao of UC San Diego, began by sharing some kind words about watching IPAM.

Terence Tao highlights how cuts to research funding threaten the nation’s scientific future and risk driving top talent abroad. Read more: lnkd.in/gFTuydvG Watch: lnkd.in/gdY5kske #UCLA #AppliedMathematics #PureMathematics

Fall 2025 at IPAM begins with our new long program, Bridging the Gap in Electrochemistry. The program explores stochastic approaches to modeling electrochemical systems, driving innovation in energy and sustainability. Learn more: lnkd.in/gW4HwQ3t

Apply now to spend Spring 2026 at IPAM, UCLA! Our long program Multi-Fidelity Methods for Fusion Energy (Mar 9–Jun 12, 2026) will bring together researchers in plasma physics, data-driven modeling, and fusion design. Deadline: Oct 9, 2025 Apply: lnkd.in/dhGYzfgK Info session: lnkd.in/gBnYAV_2

Culture Analytics 2016 asked: What is pretty? How close are colleagues? What are musical emotions, really? Presenters included Tina Eliassi-Rad of Rutgers, Timothy Tangherlini of UCLA, David Crandall of Indiana and Miriam Redi of Yahoo!. Check out upcoming IPAM at UCLA workshops: www.IPAM.UCLA.edu

Mark Green of IPAM & Peter Jones of Yale give "Random Shapes" certificates in June 2007. Seen here: Nam-Gyu Kang of CalTech, Maria McGee of Wake Forest, Bertrand Duplantier of U Paris-Saclay, & Carolyn Salafia of Placental Analytics. Check out upcoming IPAM at UCLA workshops at: www.IPAM.UCLA.edu

"Autonomous Vehicles" hit a speedbump during COVID-19, but IPAM at UCLA & Benjamin Seibold of Temple still presented five weeks of workshops. Speakers included Aaron Ames of CalTech, Bryant Walker Smith of U South Carolina, and Jana Kosecka of George Mason. New '25-26 workshops: www.IPAM.UCLA.edu

Congrats to our G-RIPS Berlin 2025 students! Grad students tackled industry challenges with 1000Shapes, Cray & LBW. Thanks to MODAL for their partnership. More info: www.ipam.ucla.edu/programs/stu...

Machine Learning - Brunton & LeCun & Noe - Sept. 2019. Physicists worked with ML in a 12-week program with Steve Brunton, Yann LeCun, and Frank Noe. It inspired new workshops at IPAM at UCLA exploring how natural organization can inform ML algorithms. Check out upcoming workshops: www.IPAM.UCLA.edu

IPAM’s RNLA workshop (Aug 11–15, 2025) brought researchers together to advance randomized algorithms, multilinear algebra, and their applications. Thanks to our organizers, project leads, and participants for making it a success. More: www.ipam.ucla.edu/programs/spe...

Mays' Landing in Malibu welcomed "Multiscale Geometry and Analysis in High Dimensions" in 2004, maybe the largest program ever at IPAM at UCLA. Speakers included Naoki Saito of UC Davis, Mauro Maggioni of Yale, and David Donoho of Stanford. Learn more about upcoming workshops at: www.IPAM.UCLA.edu

IPAM at UCLA's first workshop day was Oct. 11, 2000. Bruce Conklin of UCSF introduced GenMAPP software to connect human gene traits with diseases. Other speakers: Wing Hung Wong of Harvard, Krishnan Nandabalan of Genaissance, Tony Chan of UCLA. IPAM's upcoming workshops: www.IPAM.UCLA.edu

This Week at IPAM: RNLA2025 brings together 4 teams from labs, institutes & universities to tackle challenges in Randomized Numerical Linear Algebra. A week of hands-on problem-solving at @ipamucla. More at www.ipam.ucla.edu/programs.

What was midterms like for RIPS2025LA? Dakota (team aerospace) & Renee (team google) share the nervous hustle of Midterm Presentations. 9 teams presented 30‑min research updates to peers & advisors—now have 4 weeks to refine before final presentations in August! Learn more: www.IPAM.UCLA.edu/RIPS

RIPS2025 students are hard at work this summer. With midterms done, all 9 teams are deep in research and collaboration with their sponsors. Learn more about IPAM’s student research programs: www.ipam.ucla.edu/programs/stu...

New machine learning video series! IPAM at UCLA hosted "Sampling, Inference, and Data-Driven Physical Modeling in Scientific Machine Learning" last week. Lectures on generative modeling and techniques for inverse/forward problems. Watch and share from: lnkd.in/ge5Yucku

Alireza Kaviani of @AMD is a longtime RIPS sponsor. Each year, AMD supports a team of undergrads to tackle real industrial research problems over nine weeks. Teams present their findings and submit a final paper. Interested in sponsoring a project? Learn more: www.ipam.ucla.edu/frontiers-so...

Oliver Tse co-organized a long program for IPAM and taught during Tutorials Week, when visiting scholars explore new subjects and form their research teams. IPAM at UCLA reviews long program proposals about two years in advance. Proposal guidelines are online: www.ipam.ucla.edu/propose-a-pr...

On this Independence Day, we take a moment to reflect — not just on history, but on the progress we continue to build, one equation, one discovery, and one generation at a time. To our community of problem solvers, researchers, and thinkers: may your day be filled with curiosity, connection & care.

25th Year already?! RIPS is back at IPAM at UCLA, providing undergrads real world industry research problems for Google, AMD, Aerospace, NASA... Learn more about RIPS-> www.ipam.ucla.edu/programs/stu...

Visiting scholar Emily Beatty is a PhD student participating in her first independent research project while at IPAM at UCLA. She presented her work to senior researchers. Upcoming programs & application deadlines at the Institute for Pure and Applied Mathematics: www.ipam.ucla.edu/all-upcoming...

Figalli + Tao + Freiman at IPAM A 2008 hallway chat at IPAM between Fields medalists led to Freiman’s 3k–3 Theorem inspiring new ideas in optimal transport. This is what IPAM is for. Watch Figalli’s talk on YouTube & apply to a workshop: www.ipam.ucla.edu/all-upcoming...

New Lecture Series Available! “Statistical and Numerical Methods for Non-commutative Optimal Transport” is now live on the IPAM at UCLA YouTube channel. Explore quantum OT, Wasserstein distances & more: youtube.com/playlist?lis...

Meet JIAYI LI of UCLA Mathematics. She was accepted to IPAM's "Mathematics of Intelligences" fall long program, to continue her research on the algebraic optimization of neural networks. Jiayi Li will return to LA this summer to mentor undergraduates in IPAM's RIPS program. youtu.be/IFYAN1EYwfY?...

"Dynamics of Density Operators" video playlist now posted on IPAM at UCLA YouTube channel. These lectures are part of the "Non-commutative Optimal Transport" Spring program. RIYL: Quantum optimal transport, Wasserstein distances, and computational algorithms. Watch here: youtube.com/playlist?lis...