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SUMMARY:"Machine learning in chemistry and beyond" (ChE-605) seminar by  S
 ergio Pablo-García Carrillo: "Building the Infrastructure for Self-Drivin
 g Laboratories: Automation\, AI\, and the Future of Chemical Discovery"
DTSTART:20250930T151500
DTEND:20250930T161500
DTSTAMP:20260922T033619Z
UID:ffda014a8eb10d669d2df66e5519f7fdd658445508c097fddf1c5c3a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Sergio Pablo-García Carrillo earned his PhD at the Institut C
 atalà d'Investigació Química on chemoinformatics\, automation\, and mac
 hine learning for catalysis. He then joined the University of Toronto\, fo
 cusing on lab automation and self-driving labs. His research now centers o
 n automating chemistry\, data management\, and AI integration.\n\nSelf-dri
 ving laboratories (SDLs) represent a transformative paradigm in chemical a
 nd materials discovery\, integrating automated hardware with artificial in
 telligence to accelerate research. However\, realizing the full potential 
 of SDLs requires the development of key technological components\, from in
 telligent software optimizers to advanced automation systems. In this talk
 \, I will discuss the challenges and opportunities in building the infrast
 ructure necessary for SDLs\, highlighting the role of the Acceleration Con
 sortium in driving this innovation. Additionally\, I will explore how AI-p
 owered tools\, such as large language models for chemical data extraction\
 , can seamlessly integrate into the SDL ecosystem\, further enhancing rese
 arch efficiency and discovery.\n
LOCATION:
STATUS:CONFIRMED
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