Researcher in High-Energy Physics and Machine Learning
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
ML/AI researcher & former stats professor turned LLM research engineer. Author of "Build a Large Language Model From Scratch" (https://amzn.to/4fqvn0D) & reasoning (https://mng.bz/Nwr7).
Also blogging about AI research at magazine.sebastianraschka.com.
PhD student working on machine learning for high energy physics. Interested in equivariant architectures and generative modelling.
Particle physics and ML (http://sites.uci.edu/daniel). Co-creator @DandKUniverse podcast and @ElinorWonders TV. Patreon: https://patreon.com/DanielWhiteson.
Assistant Professor of AI in School of Physics @ GT
Fundamental Physics ∩ AI
AI Policy
AI for hypothesis generation, simulation, inference in particle & astro
High-dimensional statistics, neural inference, uncertainty quantification
Machine Learning at CuspAI - materials discovery for carbon capture
datamancer, generative models, bayesian inference, dynamical systems, open-source software, phd with @glouppe.bsky.social
Postdoc at Fermilab working on working on particle physics + ML with CMS
He/him
https://ozamram.github.io/
NeurIPS workshop and digital community | 🌐 geometry, algebra, topology + 🤖 deep learning + 🧠 neuroscience | Join us on slack! http://tinyurl.com/nr-slack
Visit our website: https://www.neurreps.org/
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
Research news from KIT – The University in the Helmholtz Association, only German university of excellence with large-scale national research.
https://www.kit.edu/english/
https://www.kit.edu/legals.php
https://www.kit.edu/privacypolicy.php
Researcher at Anthropic. Based in SF. Likes cats. smsharma.github.io.
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
ML + Physics + Health at . Exploring the interaction between scientific and ML models.
Physicist at RWTH Aachen. Interested in particle physics, astroparticle physics, cosmology, machine learning, philosophy of science.
AI + Astro/Physics. Assistant Prof at Cambridge.
astroautomata.com/
High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
PhD student @University of liege interested in inverse problems, energy markets
