ML Scientist @CuspAI | Innovating for a greener future 🌱
Machine Learning at CuspAI - materials discovery for carbon capture
My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
Postdoctoral researcher @vuamsterdam.bsky.social
AI for climate | Graph Neural Networks | Geometric Deep Learning | Neural Fields | Spatiotemporal Forecasting
mkofinas.github.io
Senior researcher @msftresearch.bsky.social - views my own | ∇⌬ | De sevillanas manners 💃
Applying machine learning to challenges in materials science.
Senior Researcher at Microsoft research AI for Science.
Views are my own
Professor of Inorganic and Materials Chemistry at UCL. Director of UK National XPS Service.
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Machine learning prof at U Toronto. Working on evals and AGI governance.
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
Associate Professor in Machine Learning at the University of Oxford.
Interested in automatic inductive bias selection using Bayesian tools.
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Associate Professor at MIT EECS, LIDS.
Professor of Computational & Systems Biology at University of Manchester. Applies machine learning and modelling to help understand the complexity of biology. idsai.manchester.ac.uk, https://www.ellismcr.org, @official-uom.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell
https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Full prof at Saarland University & part of the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
Research in AI/ML at Google DeepMind. Touche-à-tout.
Researching planning, reasoning, and RL in LLMs @ Reflection AI. Previously: Google DeepMind, UC Berkeley, MIT. I post about: AI 🤖, flowers 🌷, parenting 👶, public transit 🚆. She/her.
http://www.jesshamrick.com
Machine Learning, {Org, Med, Comp} Chem, RL/Planning, AI-assisted Scientific Discovery & Creativity, Music. ELLIS Scholar. Team Lead at Microsoft Research AI for Science. 2xDad
Current: @NVIDIA / PhD student @MIT [on hiatus]. Former UofT/Vector/MILA/McGill. Opinions my own. 🏳️⚧️ 🏳️🌈
AI for materials design at Microsoft Research AI for Science | Prev. University of Cambridge. Views are my own.
PhD student @EPFL 🇨🇭
ML & computational biology 🤖🧬⚛️
With the Alan Turing Institute • 📚 Formerly MSFT Research Ams, Cambridge MLG • GitHub: wesselb
Senior Researcher @ Microsoft Research AI for Science
Bestuurslid @kwakzalverij.nl
Rabbit fan
Lost quantum chemist working in AI
Views are my own and do not necessarily reflect those of my employer!
Machine learning, meditation, magic, muscles, mathematics, metta, meta, memes, manifolds.
Researcher in Machine Learning and Contemplative arts.
https://scholar.google.com/citations?user=KjOV76MAAAAJ&hl=en
Recsys book author https://amzn.to/3ANPx6e
RL & Meta-Learning @ DeepMind.
Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
Researcher @ National Institute of Chemistry | Protein Design, Structural and Computational Biology
Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/
GenAI for proteins @abscibio. Prev. founding team @insitro, @Stanford PhD, and @Yale alumni. 🇵🇰🇺🇸
Senior Research Scientist at Valence Labs. Generative modeling (causal, multimodal) and generalisation for scientific discovery.
PhD in ML from UofEdinburgh and MPI-IS, with time at Google DeepMind, Meta AI and Spotify.
📍London 🔗 cianeastwood.github.io
--- Oh my, I'm in AI! ---
RL, MAS, and GT researcher @ Vrije Universiteit Brussel
Business Developer @ City of Amsterdam
machine learning researcher in speech processing at qualcomm ai research amsterdam.
co-founder of WP Frequencies
organizing raves in and out of amsterdam
naifrec.github.io
https://www.youtube.com/@beincheekym8
https://linktr.ee/wp_frequencies
generative models and making them faster
AIxBio Research Scientist 👩🔬 | PhD Computational Biology 👩💻 | BSc Biomedicine 🧫 | "Singlecellologist" 🦠 into biologically meaningful representation learning 🧬 | Decoding life in London 🇬🇧
Microsoft Research AI for Science, previously physics @ Cambridge. views my own
