Very excited to lead this new @simonsfoundation.org collaboration on the physics of learning and neural computation to develop powerful tools from physics, math, CS, stats, neuro and more to elucidate the scientific principles underlying AI. See our website for more: www.physicsoflearning.org
18.08.2025 17:48 — 👍 92 🔁 14 💬 4 📌 1
My talk is "On the emergence of linear structure in word embeddings" & will cover joint works with some fantastic collaborators: Dhruva Karkada, Jamie Simon, Michael DeWeese, Daniel Korchinski, & Matthieu Wyart. I'm excited about this line of work & hope you'll find it interesting!
18.07.2025 05:25 — 👍 0 🔁 0 💬 1 📌 0
Workshop on High-dimensional Learning Dynamics
18 July, ICML 2025
Vancouver, BC, Canada
I'm looking forward to giving a talk tomorrow morning at the ICML workshop on High-Dimensional Learning Dynamics (HiDL) sites.google.com/view/hidimle.... Come by at 9 am!
18.07.2025 05:25 — 👍 1 🔁 0 💬 1 📌 0
Excited to be at the APS March Meeting this year! @apsphysics.bsky.social
I'll be giving a talk in the Tues afternoon session MAR-J58, Physics of Learning & Adaptation I.
18.03.2025 19:11 — 👍 8 🔁 2 💬 1 📌 0
Neuroscience Professor at Harvard University. Personal account and posts here. Research group website: https://vnmurthylab.org.
Senior Research Scientist at Google DeepMind. Views my own.
Biophysicist working at the edge of single cell biology, machine learning, and statistical-mechanics. Postdoc in Yogesh Goyal's lab at Northwestern; PhD in biophysics, UC Berkeley; BS in math and physics, CWRU.
PhD @Stanford working w Noah Goodman
Studying in-context learning and reasoning in humans and machines
Prev. @UofT CS & Psych
interests: software, neuroscience, causality, philosophy | ex: salk institute, u of washington, MIT | djbutler.github.io
Advancing AI & robotics by reverse engineering the neocortex.
Leveraging sensorimotor learning, structured reference frames, & cortical modularity.
Open-source research backed by Jeff Hawkins & Gates Foundation.
Explore thousandbrains.org
Schmidt AI in Science Postdoctoral Fellow at U. Chicago
theoretical & computational soft matter, biophysics, machine learning
jordanshivers.github.io
Research scientist at Google
Our goal is to understand cognition. #KnowTogether
Assistant Professor of Physics at WashU working in areas of biophysics and soft matter.
Assistant Professor of ECE at @tufts.edu • Former Schmidt AI in Science Fellow at UChicago • Ph.D. in Physics from @mit.edu • Physics ∩ ML • petery.lu
Associate Research Scientist at Center for Theoretical Neuroscience Zuckerman Mind Brain Behavior Institute
Kavli Institute for Brain Science
Columbia University Irving Medical Center
K99-R00 scholar @NIH @NatEyeInstitute
https://toosi.github.io/
Co-founder and CTO of startup @dayzerodx. Genomics + ML. Previously @Harvard SEAS (Applied Math PhD) and @MIT (Physics).
@guyd33 on the X-bird site. PhD student at NYU, broadly cognitive science x machine learning, specifically richer representations for tasks and cognitive goals. Otherwise found cooking, playing ultimate frisbee, and making hot sauces.
Graduate student in Neurobiology & Behavior at Columbia University • Munich, Oxford, New York • Neuroscience, statistics, mathematics • He/him
AI Reasoning and Foundations
Senior Research Scientist, Google |
PhD, Princeton University
Professor of Physics, UMD, College Park
arpitalab.github.io
Biophysicist … discovering physics & biology from molecules to cells and beyond … Immunobiophysics and Mechanobiology / T cells, nucleus, chromatin … microscopist, photographer, hiker, traveler …
Chancellor's Distinguished Professor of Physics, UCSD. Interested in everything.
Theoretical physicist researching condensed & living matter, fluid mechanics, statistical mechanics. Bad at staying in my lane.
https://guava.physics.ucsd.edu/~nigel/
An online-only journal publishing high-quality technical reference, review and commentary articles in all areas of fundamental and applied physics.
nature.com/natrevphys
