Pengfei Tian

Research Scientist @GoogleDeepMind 🦕x 🤖

[Andrew Beam @AndrewLBeam]

Can science create the next scaling paradigm for AI?

We think so, and we'll be using our recent Series A raise to build a new kind of scientific reasoning model at scale.

If you're interested in how we think all of science is subject to the bitter lesson, read on in the 🧵👇

[Kenneth Stanley @kenneth0stanley]

A big day for @LilaSciences , where I’m leading open-endedness. A frontier lab focused exclusively on advancing the singularly open-ended enterprise of science can make bold and unique bets that are off the radar of the chatbot giants. It’s a great place to work and do research!

[Lila Sciences @LilaSciences]

🚀 Big milestone: We raised a $235M Series A, co-led by Braidwell and Collective Global! Our team is excited for this next chapter in building the world’s first scientific superintelligence platform to accelerate breakthroughs in life, chemical, and materials sciences.

📣 If the idea of building scientific superintelligence excites you, come build with us. We’re seeking extraordinary, driven people across AI research, software, robotics, biology, chemistry, materials science, and operations. https://t.co/ehEdpPAsij

#ScientificSuperintelligence #AI #Innovation

[Andrew Beam @AndrewLBeam]

So excited that we get to work with @kenneth0stanley on open-endedness for scientific AI @LilaSciences!

Ken is truly one of the most original thinkers I've ever met in addition to being an amazing colleague.

PS - His open-endedness team is hiring, come join us!

Job links 👇

[Andrew Beam @AndrewLBeam]

We are excited to share an initial look at what we're building at Lila Sciences! At Lila, we are weaving together several exciting threads that have emerged in AI over the last several years: Highly-capable large language models, generative models of biomolecules and materials, and lab automation to create the next generation of AI models that can run the scientific method at scale.

We have assembled a world-class team of scientific and entrepreneurial leaders at this frontier including Geoffrey von Maltzahn, George Church, Rafael Gómez Bombarelli, Molly Gibson, Kenneth Stanley, John Gregoire, and Jacob Feala!

If you're excited about joining a team that is scaling reasoning models for some of the most important problems in life and physical sciences, please reach out! You're colleagues will be some of best ML scientists I have ever met at this intersection.

Come work with us and push the frontier of what is possible for science.

Link to more below!

[Pengfei Tian @pengfei10]

🍹🍸@LilaSciences

[Dumitru Erhan @doomie]

#NeurIPS2024 parties be like this;

[Pengfei Tian @pengfei10]

Thrilled to share that our company @LilaSciences is emerging from stealth mode🚀! If you’re curious about harnessing LLMs for groundbreaking scientific discoveries, join our happy hour🍸 next week in Vancouver at #NeurIPS2024. Registration is now open! 👇👇

[Andrew Beam @AndrewLBeam]

We @LilaSciences are excited to come out of stealth!

Join us at #NeurIPS2024 for a happy hour co-hosted with @nvidia, featuring a discussion on AI in science with @wellingmax and Chris Bishop.

If you’ll be at NeurIPS this year, we’d love to see you!

RSVP below 👇

[Pengfei Tian @pengfei10]

@lizbwood Come to Boston ❤️

[Simon Olsson @smnlssn]

I have 3 open postdoc positions in my group. Machine learning and AI to topics varying from inverse molecular design, optimization of near-term quantum computer algorithms to multi-scale simulations of electron transport. All project are exciting collabs. see thread for links:

[Pengfei Tian @pengfei10]

@sokrypton @MITBiology Congrats!!

[Pengfei Tian @pengfei10]

@CagiadaMatteo @NatureComms @LindorffLarsen @novonordiskfond Great work, congrats!!

[Pengfei Tian @pengfei10]

🩴🩴FLIP is excellent work on exploring local (e.g. GB1) and global (multiple protein families from Meltome Atlas) landscapes. For FLOP, our focus shifted to the intermediate landscape, pertaining to a specific protein family with diverse wild types and ML- generated sequences.

[Kevin K. Yang 楊凱筌 @KevinKaichuang]

You've heard of FLIP*, and now there's also FLOP^!

*Fitness Landscape Inference for Proteins
^ Fltness Landscapes Of Protein wildtypes

Peter Mørch Groth, @pengfei10 @WouterBoomsmaDK

https://t.co/YvgloKQxJc

[Pengfei Tian @pengfei10]

@LindorffLarsen @felix_kummerer @khandeliagroup @HenrietteAutzen Congratulations Felix, fantastic work!

[Kevin K. Yang 楊凱筌 @KevinKaichuang]

Train a diffusion model on coarse-grained samples, and in addition to generating CG samples, you also get the CG force field!

@artsmarloes @vgsatorras @chinwei_h @danielzuegner @mfederici_ @cecclementi @FrankNoeBerlin @rpinsler @vdbergrianne

https://t.co/6a9ZV0RRnA

[Pengfei Tian @pengfei10]

@LindorffLarsen @olexandr @JPhysChem :D

[Simon Duerr @simonduerr]

Results for this competition are online since a few days. Interesting that the very good intermediate results (Rs=0.8+) were mainly due to people overfitting to the public test data 🥸. Final winner achieved Rs ~0.55 for the private test data. 1/2

[Wouter Boomsma @WouterBoomsmaDK]

Do you like machine learning, proteins and Copenhagen? Check out our open PhD position: https://t.co/THKBz3IoBD. Deadline Jan 22. Please RT.

[Davide Mercadante @DavideMercadan2]

Exploring the vastitude of sequence space..happy to share just published work with @rob_best_ @pengfei10 on boosting protein thermal resilience through an interplay of co-evolution driven sequence generation, MD simulations and experiments! https://t.co/qYcVBHmlBZ

[Kresten Lindorff-Larsen @LindorffLarsen]

PhD fellowship in structural bioinformatics available in the group in our #PRISM centre 🇩🇰

If you love proteins, know a bit of programming and like to do quantitative analyses based on protein structure and sequence, this might be for you.

https://t.co/MQqFbvm69j

[Pengfei Tian @pengfei10]

@br_jimenez @LindorffLarsen Novozymes will have
non-exclusive license to use the code of the winners. Submitting as GPL is welcome 😊