Björn Mattsson
I have a BSc and MSc in physics, built global machine learning products for a decade, and now provide consulting services in the field of computational chemistry. I am technology agnostic and believe that both modern ML methods and physics-based methods are valuable; the hard part is finding the right combination of tools for the problem at hand. I also believe that rigorous benchmarking is fundamental to make progress, both in individual projects and as a field.
Biography
Computational chemistry consultant
I started Enlace Bio in 2024 to provide computational chemistry services to biotechs and startups.
Public work:
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Published a new benchmark for protein-ligand affinity prediction, co-authored with Pat Walters and covered by Derek Lowe in In The Pipeline. paper, code, dataset, In The Pipeline
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OpenADMET blind PXR induction challenge: 4/100 in the structure prediction track (co-folding plus physics-based pose selection), 14/350 in the activity prediction track (ML, co-folding, semi-empirical QM). Invited as one of three teams to present the structure track approach in a webinar. structure track blogpost, activity track method report, webinar, final leaderboard
Professional experience in machine learning
I have spent a decade building ML products. At Tractable I as Head of Estimating AI helped build an AI-based computer vision product from early prototype to a globally deployed software platform, resulting in nine co-invented US patents. That experience gave me a practical understanding of what it takes to build ML systems for real-world usage.
Background in physics
My BSc thesis in computational quantum physics was published (>200 citations): paper.
Want to learn more?
Explore some of my code on Github.
Look at my Google Scholar profile.
Connect with me on LinkedIn.
Or get in touch below.