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I'm hacking on Knit, a new way to collaborate with data dependencies! Tie together SQL, Python, and other data processes. Share works in progress for data/code review. Cache across multiple users for faster runs. Looking for early users and contributors! purposefulserendipity.com/blog/talk-abou…

Github copilot giving me some sass today

I’m really excited to be able to share more about what I’ve been working on for the last couple of years! Couldn’t be more thrilled to be working with Josh Haimson and the rest of this super talented team on the important problem of getting better drugs to the clinic, faster.

Super cool startup coming out of stealth: Inductive Bio (founded by ex-Flatiron Health all-stars Josh Haimson and Ben Birnbaum) are using machine learning to radically boost the efficiency of Rx discovery.

Introducing Inductive Bio: an AI company that enables scientists to accelerate new medicine optimization. Founded by Josh Haimson + Ben Birnbaum with whom we are thrilled to be working together again! They previously launched/led ML at Flatiron Health, where we first teamed up:)

🚀 I'm excited to announce we're launching Hashquery today! Hashquery is a python framework for querying and building Hashboard data models and it runs right in your data warehouse.

Our latest blog post on Alpha Fold 3 explores how AF3 small-molecule docking compares to existing techniques and shows that the story is more nuanced than headlines suggest. inductive.bio/blog/strong-ba…

It was fun collaborating with Alex Rich and Josh Haimson on this blog post looking into how Alpha Fold 3 small molecule docking compares to existing baselines, and how that varies on more or less drug-like molecules.

With all of the excitement around #AlphaFold3, our team at Inductive Bio has been diving deep to understand where these advances might be useful for #AI enabled small-molecule drug discovery in practice. Check out our latest blog to learn more: inductive.bio/blog/strong-ba…

Thrilled to announce that our work with Nested Therapeutics in drug optimization is now published! 🧬Our ML models helped overcome critical ADME issues to advance Nested’s program. Full story: inductive.bio/news/publicati… #DrugDiscovery #ML #ADME #Biotech

High value AI application: Predicting properties of new drug candidates. Congrats to the Nested Tx and Inductive Bio teams on this successful collaboration showing how new AI models can predict ADME properties and accelerate small molecule drug discovery.

Our latest blog post highlighting a result from our recent publication with Nested Therapeutics showing that ADME models trained on a combination of global and local data outperform models trained on either global or local data alone.

Check out our new blog post that shows how sensitive LLMs can be to the input format used in generative chemistry applications!

The rapid rise of AI in drug discovery brings both new opportunities and new challenges to navigate. We’ll be exploring these topics at two sessions at Adam Spangler Spring 2025 this year. Looking to see a demo of Inductive Bio’s latest at #ACS? inductive.bio/book-a-demo

Drug design today remains a bespoke craft done through years of scientific trial-and-error. In order to develop a single approved therapy, medicinal chemists design and synthesize over 20,000 molecules -- balancing a drug’s potency with its properties of absorption, distribution,

We’re thrilled to announce that our latest generation of Beacon-1 ADMET models secured first place in the recent Polaris blinded prediction challenge focused on ADMET properties in a real ASAP discovery antiviral program. Read about our lessons learned: