Hanchen Wang (@hcwww_) 's Twitter Profile
Hanchen Wang

@hcwww_

@Stanford & @Genentech, Jure & Aviv

ID: 1448803134

linkhttps://www.hanchenw.com calendar_today22-05-2013 12:32:03

291 Tweet

1,1K Followers

292 Following

Vega Shah (@dr_alphalyrae) 's Twitter Profile Photo

there's data showing that hiring one toxic person can reduce the productivity of a team, but I am also convinced that hiring one high quality, demanding-but-warm/kind person can raise the bar for an entire team

Shirley Wu (@shirleyyxwu) 's Twitter Profile Photo

Even the smartest LLMs can fail at basic multiturn communication Ask for grocery help → without asking where you live 🤦‍♀️ Ask to write articles → assumes your preferences 🤷🏻‍♀️ ⭐️CollabLLM (top 1%; oral ICML Conference) transforms LLMs from passive responders into active collaborators.

Even the smartest LLMs can fail at basic multiturn communication

Ask for grocery help → without asking where you live 🤦‍♀️
Ask to write articles → assumes your preferences 🤷🏻‍♀️

⭐️CollabLLM (top 1%; oral <a href="/icmlconf/">ICML Conference</a>) transforms LLMs from passive responders into active collaborators.
Matt Jones (@mattg_jones) 's Twitter Profile Photo

It's official - I am thrilled to share that I am joining MIT Biology, the Koch Institute at MIT, and MIT IMES as an Assistant Professor this fall! We will be a hybrid lab combining new technologies and computation to study ecDNA and tumor evolution. thejoneslaboratory.com

Anshul Kundaje (anshulkundaje@bluesky) (@anshulkundaje) 's Twitter Profile Photo

Sara Mostafavi (Genentech ) & I (Stanford University) 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/

<a href="/sara_mostafavi/">Sara Mostafavi</a> (<a href="/genentech/">Genentech</a> ) &amp; I (<a href="/Stanford/">Stanford University</a>) 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 &amp; single cell models). See details below. Pls RT 1/
Patrick Collison (@patrickc) 's Twitter Profile Photo

The Arc Institute Virtual Cell Challenge: prizes worth up to $100,000 for accurately predicting cellular responses to genetic or chemical perturbations.

The <a href="/arcinstitute/">Arc Institute</a> Virtual Cell Challenge: prizes worth up to $100,000 for accurately predicting cellular responses to genetic or chemical perturbations.
Zhuoran Qiao / 乔卓然 (@zhuoranq) 's Twitter Profile Photo

Introducing Chai-2 - foundation model enabling low-N de novo antibody design. We experimentally validated Chai-2 on 50+ targets, >15% binding success rate - exceeding what a lab could previously achieve. Looking forward to scaling these progresses to the entire proteome.

Kexin Huang (@kexinhuang5) 's Twitter Profile Photo

🤝Excited to announce Biomni × Anthropic! AI agents are set to transform how biologists do everyday research. Thanks to this partnership, the platform is now free for scientists worldwide: biomni.stanford.edu Learn more: anthropic.com/customers/biom…

🤝Excited to announce <a href="/ProjectBiomni/">Biomni</a> × <a href="/AnthropicAI/">Anthropic</a>! 

AI agents are set to transform how biologists do everyday research.  Thanks to this partnership, the platform is now free for scientists worldwide: biomni.stanford.edu 

Learn more: anthropic.com/customers/biom…
Hanchen Wang (@hcwww_) 's Twitter Profile Photo

Same here 🥲, we've invited ppl from Ai2, DeepMind, FutureHouse, Genentech, Harvard, Helmholtz, Microsoft, MILA, MIT, Meta, OpenAI, Princeton, Sakana, Stanford, xAI, to share experience on building AI Agents for Science. So curious which teams are more stellar and qualified

Hanchen Wang (@hcwww_) 's Twitter Profile Photo

haha, I happen to know some seniors from Salk, Scripps, UCSD, Biotech startups and Pharmas. We'll see how things evolve. I also know the best ice cream place in the La Jolla Shore :))

Jiaqi Zhang (@jiaqizhangvic) 's Twitter Profile Photo

1/6 Excited to share our latest preprint: "MORPH Predicts the Single-Cell Outcome of Genetic Perturbations Across Conditions and Data Modalities". 🔗 biorxiv.org/content/10.110… 🧵 👇 Here is what MORPH is in a nutshell!

1/6 Excited to share our latest preprint: "MORPH Predicts the Single-Cell Outcome of Genetic Perturbations Across Conditions and Data Modalities". 

🔗 biorxiv.org/content/10.110…  
🧵 👇 Here is what MORPH is in a nutshell!
Dr. Jasmine Plummer 👩🏻‍🔬🧬🇨🇦🇺🇸 (@drjasplummer) 's Twitter Profile Photo

Join the next #gestalt seminar by Hanchen Wang this Friday- July 20 @10am EST globalspatial.org/seminar-series/ Dr Wang talks about SpatialAgent- #AI tool for #spatialbiology- using LLM & adaptive reasoning for expt design & #multimodal #spatialomic data analysis Luciano Martelotto 🛠🧬💻🇦🇺 Ioannis Vlachos // @ioavlachos.bsky.social

Andrew White 🐦‍⬛ (@andrewwhite01) 's Twitter Profile Photo

HLE has recently become the benchmark to beat for frontier agents. We FutureHouse took a closer look at the chem and bio questions and found about 30% of them are likely invalid based on our analysis and third-party PhD evaluations. 1/7

Tian Xie (@xie_tian) 's Twitter Profile Photo

Want to join our efforts Microsoft Research AI for Science to push the frontier of AI for materials? We are the team behind MatterGen & MatterSim and we have 2 job openings! Each can be in Amsterdam, NL, Berlin, DE, or Cambridge, UK. It is a rare opportunity to join a highly talented,

Ji Won Park @ ICLR 2025 (@jiwoncpark) 's Twitter Profile Photo

🚨 We’re hiring at Frontier Research Prescient Design Genentech! Work on statistical ML for drug discovery: - Bayesian inference & decision theory - Uncertainty quantification - Multi-objective optimization DMs open, feel free to reach out directly! 🔗 tinyurl.com/4bm5st9v

Dinghuai Zhang 张鼎怀 (@zdhnarsil) 's Twitter Profile Photo

After discussion with Jiaxin Shi, results from "Diffusion Beats Autoregressive in Data-Constrained Settings" look like an exploit of the AR model's overfitting. Without overfitting, there seems no hope for discrete diffusion to outperform AR; see the 10B token plot for example.

After discussion with <a href="/thjashin/">Jiaxin Shi</a>, results from "Diffusion Beats Autoregressive in Data-Constrained Settings" look like an exploit of the AR model's overfitting. 

Without overfitting, there seems no hope for discrete diffusion to outperform AR; see the 10B token plot for example.