Professor at Scripps Research, studying antibody responses to immunization and infection. Big fan of open science and dogs.
San Diego, CA
Joined May 2009
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Bryan Briney retweeted
Scripps Research today received 14M+ compute hours from the Jen-Hsun and Lori Huang Foundation. Led by @WardLab1, the grant also supports @bryanbriney and @ForliLab on a virtual human immune system and the “dark” proteome, with data from @_chrisgparker_ and Benjamin Cravatt.
More: ow.ly/gOzA50ZZ2iJ
Bryan Briney retweeted
Next week, the 2026 Scripps Research Biotech Innovation Summit will bring together leaders from science, technology and venture capital to explore how AI is reshaping biomedical discovery.
We are thrilled to welcome @ThomasOrTK, CEO of @googlecloud, and Jorge S. Reis-Filho, MD, PhD, FRCPath, Chief Strategy Officer and Operating Partner at @ForesiteLabs and Venture Partner at @ForesiteCapital, for our featured keynote conversation.
We are also pleased to welcome these powerhouse guest speakers to the Summit stage:
- @joyjiao12, PhD, Life Sciences Research Lead at @OpenAI
- Stacy Feld, JD, Global Head, External Scientific Innovation at @JNJNews
- Alicia Chung, PhD, Venture Advisor at @MagnetVentures
- Sarah Nam, MBA, Vice President, Global Head of AI Partnerships at @abbvie
- @gracexyzheng, PhD, Co-founder and CEO at @perturbai_tx
- @soniasethh, PhD, Partner at @CivilizationVC
Guiding these conversations will be moderators Leighanne Oh, MS, Vice President at Ascenta Capital; Nancy Hong, PhD, Managing Partner at HiTide Venture Capital; and @bryanbriney, PhD, Professor at Scripps Research.
🗓️ October 22, 2026 | Scripps Research, La Jolla
📲 View the program and request to attend: techsummit.scripps.edu/
Bryan Briney retweeted
Excellent report on the NSF from Matt Faherty: newscience.org/nsf/. I wish there were more deep investigations and assessments like this of government agencies in the US, the EU, and elsewhere.
Bryan Briney retweeted
Hiring for Members of Technical Staff to work on rigorous evaluation of AI in biology.
Our mission is to advance humanity's ability to engineer biology. We approach this by understanding and improving AI’s application to biology across basic research, drug discovery, and biosecurity. We are a team of engineers, scientists, and operations specialists who are driven by improving capabilities and interpretability. Some of our work is showcased on benchmarks.bio.
About this role
You’ll turn your understanding of a biological domain into a roadmap of benchmarks and design them with engineers. Then build and manage your own scientific team using your network and internal talent infrastructure.
You have
(1) deep scientific expertise and experience using AI tools
(2) or strong coursework in math/CS and experience working with scientists
This is a high-intensity, founder-type role. Our Members of Technical Staff have built companies, run drug programs and scaled complex technical projects.
Projects you might work on
- Design benchmarks with engineers and scientists, from selecting scientific questions and datasets to developing reliable graders.
- Work with engineers on large-scale computing and AI inference infrastructure to evaluate models and investigate their failures.
- Research new methods for evaluating scientific capabilities and measuring improvements from training.
- Work with our internal data generation and drug development teams to build tasks around real experiments and research decisions.
How we work
Our MTS team works in person in Mission Bay, San Francisco. We keep meetings to a minimum and are flexible about when you arrive or leave. Tight deadlines and customer commitments sometimes require late hours.
Our work in use
Frontier AI labs use our benchmarks to assess biological capabilities and safeguards. Our work appears in research announcements and model cards, including:
- anthropic.com/claude-fable-5…
- anthropic.com/claude-opus-5-…
- anthropic.com/news/healthcar…
- media.x.ai/v1/website/card4p…
- x.ai/news/biosafety-at-the-f…
Hiring Process
Our process is typically completed within two weeks.
- Round 1: Introduction
- Round 2: Technical project matching
- Round 3: Take-home evaluation project (~2 hours)
- Round 4: Technical interview / live engineering session (1 hour)
- Round 5: Paid onsite project and presentation (2–3 days) - Offer
Compensation & Benefits
- 350K-500K+ OTE
- Equity
- Unlimited PTO
- Health, dental and vision insurance fully covered
- Visa sponsorship and relocation assistance
- 401(k)
- Office in Mission Bay, San Francisco
- Lunch and dinner provided
Apply at jobs.ashbyhq.com/latchbio/9b…. Or send an email to kenny[at]latch[dot]bio
Bryan Briney retweeted
Watermarking proteins, why? How is this even a nature paper? I agree with the many reviewers that pushed back. Also this is open peer review? Redacations
Bryan Briney retweeted
ʙɪɴᴅᴄʀᴀꜰᴛ2 is out, and we're not waiting for the paper. The full code drops today, free for academic and industry use.
We're releasing it early so you can start designing right now, and bring its full power to the current Adaptyv competition.
github.com/PacesaLab/BindCra…
Bryan Briney retweeted
We’re releasing torchX—an open-source framework for Predicting, Designing, and Scoring Biomolecular Interactions.
🧬 TorchFold improves antibody–antigen structure prediction through large-scale sequence-pair distillation (25K abag complexes from earlier TorchFold ckpts), reaching 70.1% top-ranked success on FoldBench-AB. Since TorchFold is a direct re-implementation of AF3, and you may also use our model weights from your built AF3 with comparable performance.
🛠️ TorchCraft turns a frozen all-atom structure predictor into a design engine for minibinders, VHHs, cyclic peptides and ligand-binding proteins—with experimentally validated minibinder and VHH designs.
📊 TorchScore evaluates candidate complexes without regenerating their structures, using the same TorchFold model weights.
GPU and Huawei Ascend NPU implementations, TorchFold training code, training data and antibody–antigen model weights are available under the MIT license.
A huge thank-you to the team at Changping Laboratory. We’re excited to see what the community builds with torchX!
Explore the papers, code, models and web server.
Papers: torchx-cpl.github.io
Code: github.com/Mingchenchen/Torc…
Models: huggingface.co/datasets/Torc…
Web server: torchfold.openi.org.cn/
Bryan Briney retweeted
Imagine it's the 1940s. You're a carpenter. Power tools are beginning to replace hand tools for ordinary work. Furthermore, jobs that would have been impossible or ruinously expensive are suddenly within reach.
You show up at a worksite one fine morning and it's being picketed. STOP POWER TOOLS! the signs say. WOODWORKING UNDER THREAT!
Puzzled, you accost one of the demonstrators and ask him why he has a signboard in his hand rather than tools.
"Power tools are a menace!" he says. "How are you going to train apprentices if they can't feel the wood through their hands?"
"What happens when we can chew through aged quality timber faster than we can grow new trees?"
"Carpentry isn't just a set of skills and habits, it's a mindset. It won't be any true carpenters left if we let this go on."
You inquire further and discover that they have plans. Plans to exclude from any job they work on any craftsman who has ever used a power tool or even spoken approvingly about them.
Meanwhile, inside the picket line, a house is going up. Men are working. Cutting and joining the framing is going faster than you could have imagined 10 years ago.
You look at the workers. You look at the demonstrators. One group is talking. The other is getting stuff done. One group looks like the past, the other like the future. In this moment, you get to decide which group you're going to join.
This post was not about carpentry.
Bryan Briney retweeted
MLCB 2026 will be held on Nov 16-17 at NY Genome Center!
This 2-day AI x Bio meeting is always a good time with amazing speakers, posters, and networking opportunities.
In-person registration by Sep 10 (it's free!): forms.gle/LEcDE8cSh71XgpgW8
More info: mlcb.org
!!!
We're working with @NousResearch on the perfect integration of Hermes! The team has been super helpful. Thank you @Teknium 🙏
Bryan Briney retweeted
Bryan Briney retweeted
To me it seems silly everyone is trying to automate their tasks with LLMs. Wouldn't it make more sense to use LLMs to develop better workflows for their tasks that do not require calls to LLMs? 🤔
Bryan Briney retweeted
A blinded, prospective benchmark of in silico antibody discovery anchored to experimental affinity and developability nature.com/articles/s41587-0…
More outstanding work by @KevinKaichuang and the @MSFTResearch team
When training protein language models, people usually discard metagenomic proteins that don't cluster with at least 1 other protein (singletons).
With @riavinod_ @Samir_char @avapamini @lorin_crawford , we show that this is probably not the right strategy.
