Ladybug amphipods, a new discovery for me. Impossible to see without the x10 diopter on top of the 105 mm macro lens. With Frank Noe in Jemeluk Bay, Bali.

Pinkeye goby. In Jemeluk Bay, Bali. With Frank Noe.

Candy crab, red-lined coral shrimp, popcorn shrimp, and starfish shrimp. At the Liberty wreck dive site in Tulamben, with Frank Noe.

Another Clemeni/Noe collaboration: Frank Noe flooded his camera so we worked together to try backlighting with remote strobes. A poor seahorse was the unwilling subject of our experimenting with lights. We need to improve on the strobe positioning, trying again soon.

Join us on our exciting mission to disrupt the molecular sciences with #MachineLearning #AI at Microsoft Research AI for Science. Researcher and Engineering positions open, each can be in Berlin DE or Cambridge UK: aka.ms/ai4science-eng… aka.ms/ai4science-res…

Career first! Girls night out with theoretical chem/biophysics profs in Brno!! 😍😍😍 Frauke Graeter Antonia Mey Cecilia Clementi @ElisaTelisa Thank you BioExcel CoE Alexandre Bonvin - also on Bluesky for a wonderful conference! 🤓💕

As the sun sets on our conference we take a look at the talks from the last day.. Cecilia Clementi presented her group's work on developing a state-of-the-art machine learned coarse-grained #forcefield which will fold #PDB structures with 25% sequence similarity

Progress towards rigorous #quantum statmech from classical dynamics by #MachineLearning quantum corrections to potentials. In this collaboration with Cecilia Clementi, we obtain exact statics (beyond a centroid description) for paradigmatic aqueous system doi.org/10.1063/5.0226…

L’eccellenza scientifica italiana protagonista in Ambasciata in occasione del riconoscimento del network di scienziati 🇮🇹 SIGN come associazione no-profit, con un panel sulle applicazioni scientifiche dell’IA Giovanni Cuniberti Cecilia Clementi Frank Noe Daniele Passerone SIGN Network Farnesina 🇮🇹

Scalable emulation of protein equilibrium ensembles with generative deep learning Microsoft Research • BioEmu, a novel generative deep learning system, enables scalable emulation of protein equilibrium ensembles, achieving a 10,000-fold speed-up over molecular dynamics (MD)

Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from Microsoft Research AI for Science. #ML #AI #NeuralNetworks #Biology #AI4Science biorxiv.org/content/10.110…

Meet Cecilia Clementi, Einstein Prof. of Physics at Physics at Freie Universität Berlin 🇩🇪. An ELLIS Fellow, she pioneers #AI4Science & is a member of #ELLISProgram ML for Molecule Discovery. Her research spans Biophysics & Theoretical/Chemical Physics. #WomenInELLIS

Extending the RANGE of Graph Neural Networks: Relaying Attention Nodes for Global Encoding Virtual nodes introduced that pass information via attention; reduces oversquashing; improves GNN on molecules; MD22!! P: arxiv.org/abs/2502.13797

Meet Cecilia Clementi Cecilia Clementi, Physics Prof at Freie Universität + speaker at the QBI/Rezo Therapeutics “AI in Biology” symposium next week! She’ll share how machine learning can model protein dynamics, and why blending theory + experiment is more powerful than ever. Join us June 17–18

BioEmu now published in Science Magazine !! What is BioEmu? Check out this video: youtu.be/LStKhWcL0VE?si…