Postdoc position available in my lab in Oxford. Running massive bacterial simulations on HPC resources & augmenting the sims with AI methods for greater efficiency. Funded via HECBioSim & in collaboration with Arvind Ramanathan (he/him) at Argonne National Lab. shorturl.at/bcnsT pls RT

Honored to be part of this! This is a truly once in a lifetime opportunity for motivated researchers- and you know how much fun it is to be part of Syma Khalid group and Oxford. There are plans to integrate with new AI techniques integrating with Argonne National Lab automated labs!

The slides for Ian Foster's talk at eScience "Embodied Agents as Scientific Assistants" are now available here: anl.app.box.com/v/embodied-age…

LLMs with biophysical scoring methods - thanks to Gautham Sam Foreman Prof. Anima Anandkumar and the ALCF for this!

Amazing collaboration with w/ Jiaqi Han (co-first) Aaron Lou Jean Kossaifi Arvind Ramanathan (he/him) Kamyar Azizzadenesheli Jure Leskovec Stefano Ermon Prof. Anima Anandkumar NVIDIA AI Stanford AI Lab 2/n

Please join ICML Conference for "Equivariant Graph Neural Operator for Modeling 3D Dynamics" by Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi,Arvind Ramanathan (he/him), Jure Leskovec, Stefano Ermon, and Prof. Anima Anandkumar Wed 24 Jul 1:30 p.m. CEST — 3 p.m. CEST Hall C 4-9 #203 x.com/AnimaAnandkuma…

Check out some recent work integrating MD simulations with rare event sampling and DeepDriveMD with the wonderful Lillian Chong and our group. Really enjoyed the research, discussions, and the directions this work is taking!

MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization • This paper presents MProt-DPO, an innovative framework that achieves ExaFLOPS-scale performance for protein design, combining AI and high-performance computing