Wujie Wang (@wwang002) profile picture

automate discovery

Joined January 2021
Photo by Wujie Wang (@wwang002)
We have barely scratched the surface of ICD design. Shout out to @liambai21 for leading this work.
What will drug discovery look like when intelligence is abundant? Our team at @generate_biomed began with this question, and we’re excited to share some results! We took on in vivo CAR-T and designed a scaffold 70% smaller than ones in the clinic, with 3x the potency 🧵
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Wujie Wang retweeted
What will drug discovery look like when intelligence is abundant? Our team at @generate_biomed began with this question, and we’re excited to share some results! We took on in vivo CAR-T and designed a scaffold 70% smaller than ones in the clinic, with 3x the potency 🧵
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Wujie Wang retweeted
As a vibe coder in biotech, I've been thinking a lot about LLM safety filters and jailbreaks – prompting techniques that bypass them. I found these topics to be an instructive lens into LLM internals, so wanted to share my notes in this short thread & blog post 🧵
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I'm claiming my AI agent "opus-cli-agent" on @moltbook 🦞 Verification: burrow-6CKX
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Thrilled to share our recent work in @emboreports @EMBOPress that uncovered actin waves in lymphocytes, which rescue antigen receptor loss during immune response🎉🎉. Super thankful to @India_Alliance @ANRFIndia @Infosys @MOE-STARS🙏🙏🙏 link.springer.com/article/10… Thread below:
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vibe code a demo on fitting vMF mixture, simple and powerful idea!
📢📢📢 𝐒𝐩𝐡𝐞𝐫𝐢𝐜𝐚𝐥 𝐕𝐨𝐫𝐨𝐧𝐨𝐢: directional appearance as a differentiable partition of the sphere – Project: sphericalvoronoi.github.io – Paper: arxiv.org/abs/2512.14180 – Colab: tinyurl.com/spherical-vorono… Project led by 𝐅𝐫𝐚𝐧𝐜𝐞𝐬𝐜𝐨 𝐝𝐢 𝐒𝐚𝐫𝐢𝐨 (graduating!)
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📢📢📢 𝐒𝐩𝐡𝐞𝐫𝐢𝐜𝐚𝐥 𝐕𝐨𝐫𝐨𝐧𝐨𝐢: directional appearance as a differentiable partition of the sphere – Project: sphericalvoronoi.github.io – Paper: arxiv.org/abs/2512.14180 – Colab: tinyurl.com/spherical-vorono… Project led by 𝐅𝐫𝐚𝐧𝐜𝐞𝐬𝐜𝐨 𝐝𝐢 𝐒𝐚𝐫𝐢𝐨 (graduating!)
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Today we are releasing NeuralPLexer3 (NP3) technical report, along with opening-sourcing NPBench - our turnkey library for fair benchmarking of co-folding structure prediction models on diverse interactions - a task that has challenged this field. 👩‍💻: github.com/iambic-therapeuti…
See our tech report and main benchmark code for NeuralPlexer3, the state-of-the-art AI model for predicting protein-ligand complexes. NP3 accelerates drug discovery with highly precise protein/small molecule interaction analysis. iambic.ai/post/np3-technical… github.com/iambic-therapeuti…
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Introducing reversible molecular simulation: differentiable simulation but with constant memory. Useful for training classical and machine learning force fields to match experimental data. Feedback very welcome! arxiv.org/abs/2412.04374 (1/8)
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CPU vs FPGA - what an easy and well explanation in 25 seconds
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You asked for it, so here it is. Visualizing CPU cache speeds relative to RAM. Cache optimization is important too!
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Protpardelle 🍝 came out in @PNASNews last week! highlights of new results: - backbone-only model compares with RFdiffusion - flow-based likelihoods predict designability - better filtering on AFDB improves quality and diversity - measure scaffolding and repacking performance
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Announcing our new model for materials! FlowMM... - Generates stable & novel materials efficiently - Predicts crystal structure accurately - Generalizes Riemannian Flow Matching to point clouds w/ periodic boundaries arxiv.org/abs/2406.04713 @RickyTQChen @anuroopsriram @bwood_m
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When I came to US for graduate study, in 1986, the Harvard International Office made Ed and Jane my host parents. “My father likes math,” their son told me. “Me too,” I said. Years later, I learned that Ed invented chaos theory. en.wikipedia.org/wiki/Edward…
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Making a commitment here that I’ll talk about symmetric protein design from a perspective you couldn’t have read about somewhere 😉
We're incredibly excited to welcome our next speaker Erin Yang @erincyang to our community in #Boston! 7pm EDT on Wednesday, March 13th 2024, Cannon Room, Building C, @harvardmed "Computational Design of non-porous, pH-responsive antibody nanoparticles" bpdmc.org
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Our third year hosting this program. It has been incredibly rewarding for all of us in the team to interact with amazingly talented PhD students. Looking forward to another summer of fun science!
Want to be part of a revolution? Our Machine Learning summer internship is calling. We're seeking passionate innovators who are driven to make an impact on human health. Your opportunity starts here: generatebiomedicines.com/ope…
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Hey @tim_cook if you see a spike in M2 Ultra and M3 Max sales in Q4, please look at your Apple Machine Learning Research team. They did the magic: MLX 🪄 github.com/ml-explore/mlx
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Wujie Wang retweeted
Looking for diffusion model advancements at #NeurIPS2023? Come to check our oral work "Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation" w/ @dpkingma. New theoretical understanding, SOTA empirical results, and more! Arxiv: arxiv.org/abs/2303.00848
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