From awd at cs.cmu.edu Thu Mar 13 06:37:58 2025 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Thu, 13 Mar 2025 06:37:58 -0400 Subject: TODAY at 2pm NSH 3305: Talk on Collaboration ideas in AI for Science by Professor Koyama, Keio University, Japan In-Reply-To: References: Message-ID: Team, Please attend this Auton-lab hosted presentation: Professor Takahiko Koyama, visiting from Keio University, Japan, will give a talk at 2pm on Thursday March 13, in NSH 3305. Zoom: https://cmu.zoom.us/j/93727472083?pwd=yfVKqQ3TeH9HGnPJoGxuVGa1tYu3Sx.1 Meeting ID: 937 2747 2083 Passcode: 955218 Title: Collaboration ideas in AI for Science Abstract: The establishment of a new collaboration between Keio University and Carnegie Mellon University marks an important advancement in artificial intelligence research, with a special focus on AI applications in scientific discovery. This presentation will outline our emerging partnership and highlight potential areas for joint research initiatives. Our laboratory at Keio University Bio2Q brings specialized expertise in microbiome research and quantum computing to this collaboration. Among the key research directions is the development of genome language models, which represent a promising frontier in computational biology as well as genomics. With employment of genome language model and protein language model, we are conducting in-depth annotations of gut microbiome genes, which have been naively annotated using sequence similarities. Furthermore, we are developing a transformer based AI model named gut MPT to predict and identify unknown metabolites?often referred to as "dark matter metabolites"?which remain largely uncharacterized despite their potential significance in human health. In another frontier, we are paving a way to build quantum algorithms for medicine and biology realms. Through this collaboration, we aim to leverage complementary strengths across institutions to address these complex scientific challenges and advance the frontiers of AI for scientific discovery. Speaker's Bio: Born in Osaka, Japan with dreams of aerospace engineering, Taka's path changed after discovering Richard Feynman's "QED," leading to a Ph.D. in physics from Cornell University. Inspired by the Human Genome Project, he transitioned to life sciences through postdoctoral research at the University of Pennsylvania, studying protein flexibility and bioinformatics. At Takeda Pharmaceutical, he specialized in bioinformatics and computational chemistry, developing highly specific allosteric kinase inhibitors for cancers, and applying machine learning to high-throughput library design. Later at IBM Watson Research Center, he led a team of scientists and engineers for Watson for Genomics and published influential work on SARS-CoV-2 genome variant analysis ahead of the Chinese Academy of Science. Today, Taka combines expertise in AI, quantum computing, and biology to explore microbiome science, decoding metabolomic "dark matter" and investigating virome functions through quantum algorithm developments. Note: We have a couple of 1-on-1 meeting slots available on Friday morning between 11:00 and noon, please email your bids to Artur Dubrawski ( awd at cs.cmu.edu), who will allocate them on the first-come-first served basis. -------------- next part -------------- An HTML attachment was scrubbed... URL: From awd at cs.cmu.edu Thu Mar 20 21:53:38 2025 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Thu, 20 Mar 2025 21:53:38 -0400 Subject: check this out Message-ID: You may see familiar faces and hear familiar voices :) https://www.cbsnews.com/pittsburgh/news/pitt-and-cmu-first-responder-robots-research/ Way to go Team Chiron! Congrats Kimberly! Artur -------------- next part -------------- An HTML attachment was scrubbed... URL: