šŸ³ļøā€šŸŒˆ 🧬Postdoc Fellow @FutureHouseSF @insitubiology | PhD at @MITdeptofBE with @zhangf | Ramblin’ Wreck from @GeorgiaTech. he/him

Joined December 2018
8 Photos and videos
Blake Lash retweeted
AI is incredible for speeding up science, but in an outbreak response, one data error can have life-or-death consequences. Super proud to share our work showing how deterministic retrieval layers bridge this gap to guarantee 100% reliable workflows for global health security!
New Science Blog: Why has AI advanced faster in coding than in biology? To agents, bio databases are like cities built before cars—maddening to drive in because they're designed for different traffic. How do we build infrastructure agents can use? anthropic.com/research/agent…
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Blake Lash retweeted
I wrote up some thoughts on AI agents and biological databases for the @AnthropicAI Science blog. šŸš—šŸ§¬ Based on research with @ferbsx and @PardisSabeti
New Science Blog: Why has AI advanced faster in coding than in biology? To agents, bio databases are like cities built before cars—maddening to drive in because they're designed for different traffic. How do we build infrastructure agents can use? anthropic.com/research/agent…
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Checkout this blog post by the fantastic @NeuroLuebbert where she discusses why agents have such a hard time accessing databases meant for human users, and what the implications are as model capabilities grow. 1/
New Science Blog: Why has AI advanced faster in coding than in biology? To agents, bio databases are like cities built before cars—maddening to drive in because they're designed for different traffic. How do we build infrastructure agents can use? anthropic.com/research/agent…
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I particularly like her point "Still, even if an agent can do it, that doesn't mean the task should be handled (and reinvented) by an agent every time." Just because an agent CAN write code to do something, doesn't mean it should need to. 2/
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Deterministic data access layers, even if not necessary in the future, still have a lot of value when it comes to cost, auditability, and trust! 3/3
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Spent my PhD on delivery and it’s still the hardest unsolved problem in therapeutics. Great to see @deliverome go after it! Congrats to the team!
AI has transformed how we design therapeutics. But targeted delivery is still an expensive guessing game. Today @BobbyHollings and I are launching @deliverome with @beckypferdehirt and @radialscience at @AsteraInstitute, to fix that. 🧵
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Blake Lash retweeted
A big day for multi-agent AI to accelerate biomedical discovery, hypothesis generation, designing experiments with proof points of new candidate drugs (cancer, fibrosis, macular degeneration, antimicrobial resistance, and more) 2 @Nature reports @GoogleDeepMind @FutureHouseSF nature.com/articles/s41586-0… nature.com/articles/s41586-0…
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Blake Lash retweeted
We live in a golden age of biology. So why are people still dying from disease? Because discovery and development move slower than they should. Today, we’re partnering with Incyte to change that. Kosmos is now the first agent that can compress months of drug development into weeks, from the earliest stages of scientific discovery through to FDA approval. @Incyte will be the first company to deploy it across their pipeline. Work that used to take a team of scientists months now happens in weeks. Patients can't wait, and neither can we.
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Blake Lash retweeted
I prompted the ā€œdeep literatureā€ mode of Edison Scientific to write a comprehensive review on the biology of a gene that I know well. Twenty five min later it sent a 17 page PDF. It was, as best as I can tell, flawless. Folks, we are not in Kansas anymore. Don’t at me - try it.
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Blake Lash retweeted
We're delighted to announce our 2026 FutureHouse AI-for-Science fellows! These five fellows, selected from a pool of more than 100 excellent applicants, are some of the most impressive researchers I know. We are extremely excited to support them in bringing AI to their science.
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Blake Lash retweeted
We found a surprisingly large technical artifact hiding in a widely-used scRNA-seq technology. In all Flex v1 datasets we’ve analyzed, we see hundreds of DE genes between probe set barcodes. More on why this matters and what to do about it below: biorxiv.org/content/10.64898… (1/n)
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Blake Lash retweeted
Today in @Nature we introduce INSTALL, which bypasses mammalian DNA immune sensing to enable non-viral DNA integration with recombinases—a step toward safe, scalable, and mutation-agnostic genome editing. 🧬 🧵(1/13) nature.com/articles/s41586-0… @BKleinstiver @CGM_MGH @MassGeneralNews @harvardmed
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Blake Lash retweeted
Today we're releasing PaperQA3, our latest literature search agent, which has the best multimodal capabilities among deep research agents today by a large margin. Edison Literature and Kosmos can now read figures and tables from over 150M full-text research papers, as well as patents, clinical trials, and more. Additionally, we’ve updated the underlying algorithm of our literature agent (which is open source at github.com/Future-House/pape…) to improve its ability to answer more complex questions. The result of these improvements show Edison Literature as one of the strongest deep research agents across benchmarks, beating out current-day frontier deep research agents. The PaperQA3-backed version of Edison Literature is available today on our platform and API as literature-20260216, as is Edison Literature High (literature-20260216-high), a high-effort variant for best performance.
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Blake Lash retweeted
We are delighted to announce our $70M seed round today. We are automating scientific research. This is only the beginning. Join us!
Science is too slow. At Edison, we are integrating AI Scientists into the full stack of research, from basic discovery to clinical trials. We want cures for all diseases by mid-century. We have raised a $70M seed to get started. Join us. We need cracked software engineers who want to work on finding cures rather than selling ads and generating slop. If you’re reading this, you’re probably a candidate. We need brilliant AI researchers who want to figure out how AI will accelerate real-world science. We need scientists and researchers with deep expertise in biology, biotech, and pharma who want to figure out how to integrate AI deeply into scientific workflows, from ideation to experimentation, and how to measure success or failure. We need extraordinarily talented generalist operators across BD, sales, product management, and partnerships who can focus on getting our tools into the hands of pharmaceutical companies. If any of these roles sound like you, get in touch. We are also expanding access to our platform. Our goal is to accelerate science writ large. To that end, we will continue to give academics and students 650 credits/mo indefinitely. I can’t promise we’ll keep this up forever, but we will try. Kosmos will still cost 200 credits, and the other agents (Analysis, Literature, etc.) will cost 1 or 2 credits. All paid users will have access to our regular agents, like our Analysis agent, Literature agent, and so on, for free via the UI. API access will still be paid, and users without a paid subscription will continue to get 10 credits per month for those agents. Our $200/mo subscription for 650 credits/mo is staying in place for now, but might be phased out at our next major product update. Along the lines of accelerating science, we’re also doing a major release of PaperQA today, our flagship open source literature agent, as part of our commitment to open science. In the short run, expect major improvements to Kosmos, including the ability to automatically access data, the ability to steer its exploration, and the ability to converse directly with its world model. In the long run, expect exponentially increasing rates of scientific discoveries, in biology and elsewhere. Our round is led by Triatomic Capital, Spark Capital, and a major US institutional biotech investor. We are also joined in this round by existing investors Pillar VC and Susa Ventures, two exceptional early-stage funds who backed us at founding, along with Striker Venture Partners, Hawktail VC, Olive VC, and a host of exceptional angels that includes famous AI researchers, the CEOs of multiple frontier AI labs, and leadership of major biotech and pharma companies.
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Blake Lash retweeted
Science is too slow. At Edison, we are integrating AI Scientists into the full stack of research, from basic discovery to clinical trials. We want cures for all diseases by mid-century. We have raised a $70M seed to get started. Join us. We need cracked software engineers who want to work on finding cures rather than selling ads and generating slop. If you’re reading this, you’re probably a candidate. We need brilliant AI researchers who want to figure out how AI will accelerate real-world science. We need scientists and researchers with deep expertise in biology, biotech, and pharma who want to figure out how to integrate AI deeply into scientific workflows, from ideation to experimentation, and how to measure success or failure. We need extraordinarily talented generalist operators across BD, sales, product management, and partnerships who can focus on getting our tools into the hands of pharmaceutical companies. If any of these roles sound like you, get in touch. We are also expanding access to our platform. Our goal is to accelerate science writ large. To that end, we will continue to give academics and students 650 credits/mo indefinitely. I can’t promise we’ll keep this up forever, but we will try. Kosmos will still cost 200 credits, and the other agents (Analysis, Literature, etc.) will cost 1 or 2 credits. All paid users will have access to our regular agents, like our Analysis agent, Literature agent, and so on, for free via the UI. API access will still be paid, and users without a paid subscription will continue to get 10 credits per month for those agents. Our $200/mo subscription for 650 credits/mo is staying in place for now, but might be phased out at our next major product update. Along the lines of accelerating science, we’re also doing a major release of PaperQA today, our flagship open source literature agent, as part of our commitment to open science. In the short run, expect major improvements to Kosmos, including the ability to automatically access data, the ability to steer its exploration, and the ability to converse directly with its world model. In the long run, expect exponentially increasing rates of scientific discoveries, in biology and elsewhere. Our round is led by Triatomic Capital, Spark Capital, and a major US institutional biotech investor. We are also joined in this round by existing investors Pillar VC and Susa Ventures, two exceptional early-stage funds who backed us at founding, along with Striker Venture Partners, Hawktail VC, Olive VC, and a host of exceptional angels that includes famous AI researchers, the CEOs of multiple frontier AI labs, and leadership of major biotech and pharma companies.
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Blake Lash retweeted
17 Dec 2025
Excited to share our new work on immune aging! We explored whether the liver could serve as a temporary "factory" to produce immune factors that decline with aging, potentially helping to rejuvenate aged immunity. @mircoscopy.
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Blake Lash retweeted
Apply for our 2026 batch of FutureHouse Independent Postdoctoral Fellowships!
We are opening applications for our 2026 cohort of FutureHouse AI-for-Science Independent Postdoctoral Fellows! Apply our AI tools to specific problems in biology and biochemistry, in collaboration with world-leading academic labs: --$125,000 annual stipend. --Access to all tools developed by FutureHouse and Edison Scientific at scale, including Kosmos and several as-of-yet unreleased agents, with under-the-hood access to them to specialize them for your workflows. --Receive dedicated software engineering support. --1 year with possible 1 year extension. Even more exceptional co-advisors than last year. Deadline for applications is February 13th, 2026. Link in next post.
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Blake Lash retweeted
Today, we're launching our first round of Edison Grants. These fast grants will provide 20,000 credits (100 Kosmos runs) and significant engineering support to researchers looking to use Kosmos and our other agents in their research. Key details: -PIs, staff scientists, postdocs, and PhD students are all eligible to apply. -The grants are open to all fields of research. -We will be awarding up to 5 grants initially, and may expand the program subsequently. -We're aiming for projects to last 4 months. -Applications are due January 8th. Notifications will be sent on January 15th. See link to apply below. Super excited to see what people propose.
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