March 3, 2026
What if the benchmark is the problem?
In this post, I explain why we turned our attention away from new models and toward the benchmarks that many of those models rely on.
Blog
I write about AI-driven biochemistry, drug discovery workflows, and the practical choices behind published research.
September 22, 2025
How we searched for antibiotics beyond familiar chemical space
In this post, I explain how we used generative models to search for antibiotic candidates beyond the familiar chemical space of existing libraries.
April 15, 2025
How we built an AI pipeline for antibiotic discovery
In this post, I explain how we connected several AI tools into one workflow for antibiotic discovery, from target selection to compound prioritization.
February 5, 2025
Can you predict drug binding from sequence alone?
In this post, I explain how far we can get in drug-target prediction when we work with the simplest and most widely available biological inputs.
June 24, 2024
Can a test description predict which molecules will work?
In this post, I explain why we thought the written description of an assay might help us make useful predictions before the assay has much data.
April 1, 2024
Why this blog exists
A short note on what I want this blog to do: explain research in clear, active language without the fog that often surrounds it.