Andrew White | Training reasoning models and agents for drug discovery
Foresight Institute’s Computation Group
Training reasoning models and agents for drug discovery
Abstract: Edison Scientific is a spin-out from FutureHouse focused on the automation of intellectual tasks of science. We are automating each stage of scientific discovery - from hypothesis generation, data analysis, and literature search. We have announced our first major results on exceeding human level performance in summarizing and synthesizing literature, building a benchmark for biology tasks, and scientific agents in closed loop discovery. We have exceeded human level performance of experts in multiple tasks and launched a platform to enable others to use these agents to accelerate protein design, literature research, disease-target interactions, and bioinformatics analysis. In this talk, I will review these results and give a general update on our progress, with specific results on automating synthesis of human knowledge and assessing the progress on frontier AI models for doing scientific tasks - like ether0, our chemistry reasoning model.
Bio: Andrew is Co-Founder and CTO at Edison, where he has led multiple AI for science projects including ChemCrow (first LLM agents in chemistry), ether0 (first reasoning model in a scientific domain), and paperqa (first superhuman literature agent). Andrew has been a professor and researcher in ML in chemistry, explainable AI, statistical mechanics, and chemical engineering, and has received numerous awards, including junior investigator awards from the NSF and NIH. Andrew is an active member of the scientific community as a peer reviewer for over 30 journals, multiple national and private grant awarding institutions.
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Zoom link: https://us02web.zoom.us/j/81623367983