Patrick Kidger
@PatrickKidger
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I do SciML + open source! 🧪ML+proteins@ https://t.co/04dWAWzCyl 📚Neural ODEs: https://t.co/ODOKWjub5k 🤖JAX ecosystem: https://t.co/8kXzaG9XVf 🧑💻Prev. Google, Oxford
Mostly Zürich? I travel a lot.
Joined July 2020
⚡️ My PhD thesis is on arXiv! ⚡️ To quote my examiners it is "the textbook of neural differential equations" - across ordinary/controlled/stochastic diffeqs. w/ unpublished material: - generalised adjoint methods - symbolic regression - + more! https://t.co/Pm5l6FhEED v🧵 1/n
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we have nine roles open @ Loyal right now - come be a part of the final sprint to bring to market the first FDA-approved longevity drug.
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Interesting post from @owl_posting asking whats next for antibody design. I agree with him that in vivo properties are likely the answer, but the question is how do we get there? The PDB has enabled de novo binding models to be incredibly successful. Properties like
github.com
mBER - Manifold Binder Engineering and Refinement. mBER enables antibody binder design by leveraging structure templates and sequence conditioning in backprop design through AlphaFold-Multimer. Pre...
turns out everything nabla’s model claims it can do, chai’s can too! so i guess the suspicion that developability being a naturally emergent property of a well-trained model is true the GPCR result also seems emergent (surprising!), given that chai-2 could do it from the start
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Imagine if everything in life was as good as gold. It’s easy to invest in, could help grow your wealth, and protect it too. A timeless asset that stands strong when others may not.
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Next company to release cool protein designs on @proteinbase! Check out @cradlebio's competition winning EGFR binders. Many more data drops on the way 👀
New collection drop! @cradlebio just released their competition-winning EGFR binders on Proteinbase. Check out how they optimized the commercial antibody Cetuximab and scored the highest affinities in our 2024 Protein Design Competition.
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We’re excited to share a new multi-year collaboration with @TakedaPharma, building on the success of our first engagement. Under the agreement, Nabla will receive double-digit millions in upfront and research payments and is eligible for success-based payments exceeding $1
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🚀 New talk! "Automated ML-guided lead optimization: surpassing human-level performance at protein engineering" ▶️ https://t.co/GhDHBynqL0 ✨🧪 This was a talk I gave at the recent AIxBIO conference in Cambridge UK. A 10-minute pitch for what we do at Cradle!
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Today we’re releasing real-world experimental data for over 1000 novel AI-designed proteins on our new platform @proteinbase!
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A reminder that there is now *1 week* left until the MLSB deadline on October 1st! Send in your 🧪bio+🤖ML papers, for either 🇺🇸San Diego, 🇩🇰Copenhagen, or ✨both✨!
🚨To accommodate the addition of EuroMLSB, we have extended the submission deadline to October 1, 2025 11:59pm AoE. Find information on paper guidelines at https://t.co/wv9C4wezso. Submissions will be made through CMT.
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Taking a first step towards hibernation pods :) Just announced a $58M Series A led by @foundersfund to back the core roadmap reversibly cryopreserve human organs -> help transplant patients + build sustainable business -> accelerate R&D for whole body cryo
We’ve raised $100M+ to date, we are developing reversible cryopreservation for patients in need of donor organs, and we are hiring 🫀🎉🚀
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Today we're dropping the "beta" tag from Adaptyv, launching our new website and announcing our $8M seed round. When we started Adaptyv a few years ago, our core belief was: AI models for biology are only as good as the experimental data they're trained on and the hypotheses
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🚨 We’re hiring! The OPIG group is looking for multiple postdocs to join OpenBind, an open science initiative generating foundational structural biology data to power the next era of AI/ML for drug discovery. https://t.co/nCRTFuqadT
https://t.co/ShjU5gOul8
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💥 We are *also* organizing Machine Learning for Structural Biology @ EurIPS, Copenhagen!! Topics include anything in the ML+bio intersection. Submit your ML+bio short papers! Authors can even present in both locations if they have people in both locations 🚀
You asked and we listened...@workshopmlsb is excited to be expanding to Copenhagen, DK at @EurIPSConf 🎉 Two workshops (San Diego & Copenhagen) will run concurrently to support broader attendance. You can indicate your ranked location preference in the submission portal💫
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🚀 So `tinyio` hit the front page of Hacker News. Now we're at 487 GitHub stars :D I've also just done a ✨v0.2 release✨. Now batteries-included with common operations (locks, etc.) and with a major performance improvement. GitHub:
github.com
Ever used asyncio and wished you hadn't? A tiny (~300 lines) event loop for Python. - patrick-kidger/tinyio
✨Announcing: tinyio! A tiny barebones event loop library for Python. Born out of my frustration with asyncio... GitHub: https://t.co/TMbUvIUP00 It's nothing too fancy, just a little library that does one thing well. 🔥
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✨v0.1 release of typst_pyimage!✨ Do you: - write scientific papers in Typst (boo hiss LaTeX)? - have many matplotlib figures? Would you like the code for those images inlined directly into your Typst file, and autogenerated when you compile it?🔥 https://t.co/SSGEeyE3Hv
github.com
Typst extension, adding support for generating figures using inline Python code - patrick-kidger/typst_pyimage
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✨Announcing: tinyio! A tiny barebones event loop library for Python. Born out of my frustration with asyncio... GitHub: https://t.co/TMbUvIUP00 It's nothing too fancy, just a little library that does one thing well. 🔥
github.com
Ever used asyncio and wished you hadn't? A tiny (~300 lines) event loop for Python. - patrick-kidger/tinyio
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✨ We are hiring to build out our automated wet lab! 🤖🦾🧪 https://t.co/fI74vmmeDf
jobs.ashbyhq.com
THIS IS CRADLE Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of...
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@sara_mostafavi (@genentech ) & I (@Stanford) r excited to announce co-advised postdoc positions for candidates with deep expertise in ML for bio (especially sequence to function models, causal perturbational models & single cell models). See details below. Pls RT 1/
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Whoops, wrong link 😅 Thanks to those who pointed this out! https://t.co/OculSNGhUN
jobs.ashbyhq.com
This is an exceptional opportunity to join a very early stage company reimagining protein design through a computational- and AI-first approach. If you’re an ML Researcher with experience in the...
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✨Cradle is hiring protein+ML researchers!✨ We operate ML for lab-in-the-loop lead optimization across all industries (pharma, synbio, ...), modalities (antibodies, enzymes, ...), properties (binding, activity, ...) We're a scaleup and already relied upon by 4 of the top 20
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🚨 We’re hiring @sangerinstitute! Join us as a Postdoc or ML Scientist to build generative & foundation models for biology. 🧬 Spatial + single-cell omics 🧠 Diffusion, transformers, multimodal data 💊 Drug discovery via Open Targets Apply: Postdocs in computational biology
lnkd.in
This link will take you to a page that’s not on LinkedIn
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