Excited to be pivoting from molecules to cells for my Schmidt Science Fellowship, advised by Emma Lundberg and Wah Chiu! I’m looking forward to building ML models that better reflect how molecules & cells look in real life 🔬

Our paper on generalizable antibody-antigen binding affinity prediction has been featured on the cover of the August Issue of @natcomputsci.nature.com! 📔🎉

🚨Our August issue is now live and includes research on antibody-antigen binding, molecular screening for zeolite synthesis, psychological experiments with LLMs, and much more! www.nature.com/natcomputsci...

Out now! @alissahummer.com @opig.stats.ox.ac.uk and colleagues present Graphinity, a method to predict change in antibody-antigen binding affinity (∆∆G). Also featuring synthetic datasets of ~1 million FoldX-generated and >20,000 Rosetta Flex ddG-generated ∆∆G values! www.nature.com/articles/s43...

Our work exploring the ability of and requirements for ML to predict the effects of mutations on antibody-antigen binding affinity (ΔΔG) is out now in @natcomputsci.nature.com!

What is the status of nucleic acid structure prediction? Our analysis of CASP16 (doi.org/10.1101/2025...) reveals human expertise is still necessary for the most accurate prediction, but accuracy still heavily relies on templates; having seen a similar structure already.

It was great to be involved in the evaluation of nucleic acid structure prediction in CASP16! 🧬 RNA modeling remains challenging for deep learning, esp. in the absence of templates and for long-range tertiary/quaternary interactions. Encouraging signs from deep evolutionary data though.

I'm so excited to join this interdisciplinary community as a 2025 Schmidt Science Fellow! After years behind a keyboard, I will be pivoting toward the wet lab. To unlock the true potential of ML for biology/biomedicine, we need high-quality data and robust evaluation 🔬🧫🧪

AntiFold, our antibody inverse folding model, has been published at Bioinformatics Advances. Work led by @magnushoie.bsky.social & @alissahummer.com. Paper: academic.oup.com/bioinformati... Webserver: opig.stats.ox.ac.uk/webapps/anti... Codebase available on Github: github.com/oxpig/AntiFold