Michael Hutchinson @ ICML
@MHutchinson141Research Scientist @isomorphiclabs. PhD Student @OxfordStats. Generative modeling, Geometric ML, applying it all to structural biology!
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It's been here a while - but better late than never - I've started a role @IsomorphicLabs as a Research Scientist! I've been here since December and its been the most incredible experience. See some of the progress we have made so far: x.com/maxjaderberg/s…
We’ve been developing AlphaFold 3 to advance how we do drug design at @IsomorphicLabs This model allows us to a) do rational structure based drug design in-silico, and b) understand more about the biological context of targets bit.ly/4a5o3EM 1/
Fully-funded #PhD in #ML at @EdinburghUni (@InfAtEd, @ancAtEd), in 𝐠𝐞𝐨𝐦𝐞𝐭𝐫𝐢𝐜 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 and 𝐮𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 𝐪𝐮𝐚𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧. Application deadline: 15 Dec '24. Starting Sep '25. Details in the reply. Please RT and share with anyone interested!
If you wonder why I'm against the long discussions or big rebuttals: IMO we should not support submitting half-baked papers. Rebuttal should only clarify simple misunderstandings. If major new experiments or rewrites are needed, it wasn't ready. Revise and resubmit.
Get an insight into the future of drug design from Pascal, one of our Research Leaders in Drug Design and Medical Research. In his blog, Pascal shares his perspective on the enormous potential surrounding AI-powered drug discovery. Read more here: bit.ly/3ylXsXb
I'm at ICML this week - get in touch if you want to chat about the cool things going on @IsomorphicLabs, or just to chat in general!
We’ll be at @icmlconf 21-27 July - if you'll be there we’d love to chat to you about our rational drug design work and opportunities to join our team. Register here bit.ly/3VSq6qx to arrange a time. #ICML2024
#AlphaFold 3, a cutting-edge AI model released jointly with @GoogleDeepMind, provides an atomic-level view of the structure and interactions of biomolecular systems, deepening our understanding and helping us reimagine rational drug design. Read more: go.nature.com/4bNNlsJ
This week in Nature: Complex system - AlphaFold3 powers predictions of protein-molecule interactions Browse the full issue: nature.com/nature/volumes…
Step into the world of PhD research with @UniofOxford Apply for our 2023 UNIQ+ internships by Friday 17 Feb to spend your summer with our incredible research community: ox.ac.uk/uniqplus
Please apply if you are a UK undergraduate from under-represented backgrounds interested in exploring what a career in AI research is like. Deadline Feb 17! @GoogleDeepMind has kindly supported the AI internship projects @uniqplusoxford, thank you!
Step into the world of PhD research with @UniofOxford Apply for our 2023 UNIQ+ internships by Friday 17 Feb to spend your summer with our incredible research community: ox.ac.uk/uniqplus
Interested in large language models? Worried about impacts of climate change? Come join us @oxcsml @NatureRecovery @UniofOxford in pushing the frontiers in #LLMs and at the same time help #NatureRecovery and address the impacts of #ClimateChange! bit.ly/4750IBO
Happy to share Geometric Neural Diffusion Processes at #NeurIPS. Join us for Poster Session 3 on Wednesday if you’re interested in diffusion models for modelling equivariant stochastic processes. With @MathieuEmile @MHutchinson141 @ValentinDeBort1 @yeewhye #richturner
Generative models for scientific data can often benefit from using domain-informed constraints to reduce their problem space. In our new #NeurIPS2023 paper, we simplify constrained (Riemannian) diffusion models to make them better, faster & easier to use. arxiv.org/abs/2307.05439
Spinning up on the other-other site now; michaeljhutchinson over on threads. I'm still also @mjhutchinson@sigmoid.social on the other one! Somewhat hoping this one lasts longer!
Can deep transformers be trained without skip connections nor normalisation layers? Our ICLR 2023 paper shows you how, using wide NN signal propagation ideas. We hope this can potentially pave the way to more efficient deep LLMs! (1/9) Paper: arxiv.org/abs/2302.10322
Read about generative modelling (and work which won a #NeurIPS2022 outstanding paper award) in this blog post from @ValentinDeBort1, @MathieuEmile, @MHutchinson141, @JamesTThorn, @yeewhye and @ArnaudDoucet1
Heading on my way to @NeurIPSConf! If you want to chat geometric ML, statistical ML, AI for science, or diffusion models (or anything really it's great to be at in-person again) DM me! I'm finishing up my PhD this year, so looking for job/post-doc options as well! #NeurIPS2022
For fellow bridge enthusiasts, check out an extension we carved out from the main based on iterative time reversals - Riemannian Diffusion Schrodinger Bridge - Accelerates Riemannian diffusions models - Facilities interpolation based on optimal transport arxiv.org/abs/2207.03024
🎉 Awarded an Outstanding Paper award 🎉 at Neurips 2022, updated from the ArXiv version, announcing "Riemannian Score-Based Generative Models" arxiv.org/pdf/2202.02763… Joint work with @ValentinDeBort1 @MathieuEmile @JamesTThorn @yeewhye @ArnaudDoucet1 in @oxcsml @OxfordStats
🎉 Awarded an Outstanding Paper award 🎉 at Neurips 2022, updated from the ArXiv version, announcing "Riemannian Score-Based Generative Models" arxiv.org/pdf/2202.02763… Joint work with @ValentinDeBort1 @MathieuEmile @JamesTThorn @yeewhye @ArnaudDoucet1 in @oxcsml @OxfordStats
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