Simon Olsson

@smnlssn.bsky.social

Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/

Don't miss your chance to register for the Structured Learning Workshop, to be held October 27-28 in Gothenburg, Sweden. 🇸🇪 Amazing line-up of speakers, super excited to be hosting this event now for the 4th year here at Chalmers! Registration link and more info: chalmers.ungapped.io/Events/5f087...

2026 CHAIR Structured Learning Workshop

Welcome to the 2026 Chalmers AI Research Center Workshop for Structured Learning. In this workshop we broadly cover topics related to Structured Learning targeting specifically the following questions...

chalmers.ungapped.io

A recording of @briantrippe.bsky.social's AI4Science seminar last month is now online! 🎬 www.youtube.com/watch?v=Rism... Check it out to learn more about calibration methods for generative models in the context of protein design.

Dr. Brian Trippe (Stanford) --- Calibration methods for generative models with application to pro...

YouTube video by Chalmers AI4Science

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Simon Olsson@smnlssn.bsky.social · 4mo ago

We are looking forward to welcome @briantrippe.bsky.social for this months Chalmers AI4Science seminar tomorrow. Check psolsson.github.io/AI4ScienceSe... for details on how to connect!

Is #AI hitting a plateau in structure prediction? Help us find out at CASP17! 🧪🧬 Calling for Targets: Immune Complexes, protein - ligand complexes, RNA/DNA, conformational ensembles, membrane proteins, viral origins, and large complexes. The Rule of Thumb: If AF3 can’t model it, we want it.

The Critical Assessment of Structure Prediction (CASP) experiment is calling for prediction targets: Immune Complexes, Organic Ligand-Protein Complexes, Nucleic Acids and Complexes, Conformational Ensembles, Difficult Protein Structures and Complexes. 
Rule of Thumb: If AlphaFold3 can generate a high-quality model, it is likely not a CASP-grade challenge. If it struggles, we want it.

Excited to share our pre-print on the curation of a new bioactivity dataset for metabolic transformations. 🧪🧑‍💻 We were surprised to find that roughly a quarter of our drug-metabolite-target combinations contain metabolites with retained or increased bioactivity relative to the parent drugs! #chemsky

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Join us! We are opening many postdoc positions both in London and in Gothenburg! London 🔗https://www.lesswrong.com/posts/GTt33CasvWjxxazJw/hiring-principia-research-fellows 📅 deadline: March 26th Gothenburg 🔗 www.chalmers.se/en/about-cha... 📅 deadline: April 1st

Vacancies

Phone +46-317721000Mail addressChalmers University of Technology412 96 GothenburgE-mail and more contact informationOrganisation number 556479-5598

chalmers.se

Gatsby Computational Neuroscience Unit@gatsbyucl.bsky.social · 6mo ago

📢 Job alert - Deep Learning Theory & AI Safety Applications open for a postdoc fellow (@saxelab.bsky.social lab) to study artificial deep networks using techniques from applied maths & stat physics. ⏰ Deadline: 26 Mar 2026 🤝 In collaboration with @stefsm.bsky.social ℹ️ www.ucl.ac.uk/life-science...

A recording of @vlderinger.bsky.social's excellent talk now available on the Chalmers AI4Science Seminar YouTube Channel, check it out! 🎬 www.youtube.com/watch?v=MWei...

Dr. Volker Deringer (Oxford) --- Machine-learned interatomic potentials for materials chemistry

YouTube video by Chalmers AI4Science

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Simon Olsson@smnlssn.bsky.social · 6mo ago

Today we are excited to welcome @vlderinger.bsky.social to this years first Chalmers AI4Science seminar. Please join us in-person on the Johanneberg Campus (EDIT, Analysen) or online (psolsson.github.io/AI4ScienceSe... ) in 45 mins!