BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/Los_Angeles X-WR-TIMEZONE:America/Los_Angeles BEGIN:VEVENT UID:240@escience.washington.edu DTSTART;TZID=America/Los_Angeles:20241105T163000 DTEND;TZID=America/Los_Angeles:20241105T172000 DTSTAMP:20241120T205053Z URL:https://escience.washington.edu/events/uw-data-science-seminar-lilo-po zzo/ SUMMARY:UW Data Science Seminar: Lilo D. Pozzo DESCRIPTION:\n\nPlease join us for a UW Data Science Seminar on Tuesday\, N ovember 5th from 4:30 to 5:20 p.m. PT. The seminar will feature Lilo D. Po zzo\, Boeing-Roundhill Professor of Chemical Engineering at the University of Washington.\n\nThe seminar will be held in the Physics/Astronomy Audit orium (PAA)\, Room A118 - campus map.\n\n\n"AI-Driven Experiments and Ope n-Source Automation for Accelerated Soft Matter Research"\nAbstract: Artif icial intelligence (AI)\, when paired with accessible laboratory automatio n\, can greatly accelerate materials optimization and scientific discovery . For example\, it can be used to efficiently map a phase-diagram with int elligent sampling along phase boundaries\, or in ‘retrosynthesis’ prob lems where a material with a target structure is desired but a synthetic r oute is not known. These approaches are especially promising in soft matte r systems\, including block copolymer self-assembly\, nanoparticle synthes is\, and controlled colloidal assembly. In these systems\, design paramete rs (e.g. chemical composition\, MW\, topology\, processing) are vast\, his tory-dependent metastable and ‘out-of-equilibrium’ structures are comm on\, and functional properties are intimately tied to molecular design fea tures and processing conditions. In addition\, for AI algorithms to operat e efficiently in these spaces\, they must be ‘encoded’ with domain exp ertise specific to the problems being tackled. This talk will cover recent advances in hardware and software tools for accelerated materials researc h in polymeric and soft-matter systems including dispersions and colloids. Finally\, it will outline remaining challenges in practical implementatio ns and identify future opportunities for research.\nBio: Dr. Lilo Pozzo’ s research interests are in the area of colloids\, polymers and soft-matte r systems. Pozzo obtained her B.S. from the University of Puerto Rico at M ayagüez and her PhD in Chemical Engineering from Carnegie Mellon Universi ty in Pittsburgh PA. She also worked in the NIST Center for Neutron Resear ch as a post-doctoral fellow and is currently the Boeing-Roundhill Profess or of Chemical Engineering at the University of Washington where she has s erved since 2007. She is also dedicated to improving engineering education with course development in areas of entrepreneurship and service-oriented global engagement.\n\nThe UW Data Science Seminar is an annual lecture s eries at the University of Washington that hosts scholars working across a pplied areas of data science\, such as the sciences\, engineering\, humani ties and arts along with methodological areas in data science\, such as co mputer science\, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional part ners\, governmental agencies and industry.\n\n \;\n\nThe 2024-2025 sem inars will be held in person\, and are free and open to the public. ATTACH;FMTTYPE=image/jpeg:https://escience.washington.edu/wp-content/uploa ds/2024/11/image-10-1.png LOCATION:Physics/Astronomy Auditorium\, room A118\, Seattle\, WA\, X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Seattle\, WA\, ;X-APPLE-RAD IUS=100;X-TITLE=Physics/Astronomy Auditorium\, room A118:geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE END:VCALENDAR