PhD student at @ Stanford, Steinmetz Lab
Explaining cool new biotech to the world via TikTok/X
Fostering the development and dissemination of the theory and applications of statistics and probability
Assistant Professor at the Department of Computer Science, University of Liverpool.
https://lutzoe.github.io/
Chief Models Officer @ Stealth Startup; Inria & MVA - Ex: Llama @AIatMeta & Gemini and BYOL @GoogleDeepMind
•PhD student @ https://www.ucl.ac.uk/gatsby 🧠💻
•Masters Theoretical Physics UoM|UCLA🪐
•Intern @zuckermanbrain.bsky.social|
@SapienzaRoma | @CERN | @EPFL
https://linktr.ee/Clementine_Domine
Building generative models for high-dimensional science and engineering.
Assistant prof. @CarnegieMellon & affiliated faculty @mldcmu, previously instructor @NYU_Courant, PhD jointly @Harvard and @MIT
https://nmboffi.github.io
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK.
Research Interests: Bayesian Experimental Designs, Gaussian Processes, Sampling Algorithms.
https://shusheng3927.github.io/
Theoretical particle astrophysics PhD student at Princeton.
Assoc. prof. in mathematics at Chalmers/University of Gothenburg. Mainly probability, analysis and computational methods, but I like to visit most areas of mathematics. Elected member Young Academy of Sweden. Mostly here for the science, some for the jokes
Postdoc at University of Pennsylvania, former developer at Martinos Center at MGH/Harvard, Yale '23, medical image analysis 🧠, deep learning, connectomics (he/him/his)
Bio x ML @ Romero lab, @dukeubme.bsky.social
@ml4proteins.bsky.social co-organizer
AI researcher excited about biomolecule design 🧬
PhD student at the University of Cambridge
Prev. at FAIR, Prescient Design, and MRC LMB
📝 https://chaitjo.substack.com
Research Lead at @valenceai.bsky.social, Adjunct prof at @UMontreal and @Mila_quebec, interested in AI, deep learning, drug discovery, graphs, geometry, biology, chemistry, physics, philosophy, and the origin of life 🧠🦠
Aims to become a crazy scientist 👨🔬
Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
Group Leader, CBS-NTT "Physics of Intelligence" Program at Harvard
website: https://sites.google.com/view/htanaka/home
PhD in Machine Learning at ETH Zürich, working on deep learning theory and principled large-scale AI models.
lorenzonoci.github.io
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
