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DTSTART;TZID=America/New_York:20260423T133000
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DTSTAMP:20260425T091539
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SUMMARY:Boundedness for K-trivial varieties with fibrations
DESCRIPTION:Differential Geometry and Physics Seminar  \nSpeaker: François Greer\, MSU \nTitle: Boundedness for K-trivial varieties with fibrations \nAbstract: According to the Beauville-Bogomolov decomposition theorem\, any smooth K-trivial variety admits a finite cover by a product of (1) abelian varieties\, (2) strict Calabi-Yau varieties\, and (3) irreducible holomorphic symplectic varieties (IHSV). In a fixed dimension\, all abelian varieties are diffeomorphic\, and indeed deformation equivalent through non-algebraic complex tori. The corresponding question remains largely open for cases (2) and (3). If we assume that a variety of class (2) or (3) admits a non-trivial fibration structure\, then much more can be shown. In particular\, fibered Calabi-Yau threefolds have bounded moduli problem\, and IHSV of a fixed dimension with a Lagrangian fibration have bounded moduli. This is based on joint work with Engel\, Filipazzi\, Mauri\, and Svaldi. \n\n  \n 
URL:https://cmsa.fas.harvard.edu/event/dgphys_42326/
LOCATION:CMSA Room G10\, CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Differential Geometry and Physics Seminar
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/DG-Physics-Seminar-4.23.26.docx.png
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DTSTART;TZID=America/New_York:20260423T160000
DTEND;TZID=America/New_York:20260423T170000
DTSTAMP:20260425T091539
CREATED:20251006T173927Z
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SUMMARY:Sixth Annual Yip Lecture | Regina Barzilay\, MIT: Can machine learning methods design drugs?
DESCRIPTION:Sixth Annual Yip Lecture \nDate: April 23\, 2026 \nTime: 4:00–5:00 pm ET \nLocation: Harvard Science Center Hall A & via Zoom Webinar \nSpeaker: Regina Barzilay\, MIT \nTitle: Can ML methods design drugs? \nAbstract: Today\, life sciences are driven by prohibitively expensive wet lab experimentations\, which limit the pace and scope of discovery. This talk focuses on AI algorithms that enable in-silico modeling of biological processes. Specifically\, I will focus on algorithms for molecular and cellular modeling. I will highlight several successful examples where these algorithms have already transformed drug discovery. In the second part of the talk\, I want to focus on problems where current methods fail to deliver as expected\, motivating the need for algorithmic innovations. \nIn-person registration \nWebinar registration \n  \nRegina Barzilay is a School of Engineering Distinguished Professor for AI and Health in the Department of Electrical Engineering and Computer Science (EECS) at MIT. Since 2018\, she has been the AI faculty lead for the MIT Jameel Clinic and a member of MIT CSAIL. \nShe is a member of three national academies\, including the National Academy of Engineering\, the National Academy of Medicine\, and the American Academy of Arts & Sciences. \nShe is also a recipient of various awards\, including a 2017 MacArthur fellowship “Genius Grant.” In 2020\, she was awarded the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity. More recently\, she has been recognized in the 2025 TIME100 AI List and awarded with the IEEE Frances E. Allen Medal for her development of innovative machine learning algorithms that have significantly advanced human language technology and transformed medical diagnostics and drug discovery. \nShe completed her PhD in Computer Science from Columbia University\, and spent a year as a postdoc at Cornell University. Barzilay received her undergraduate degree from Ben-Gurion University of the Negev\, Israel. \nThe Yip Lecture takes place thanks to the support of Dr. Shing-Yiu Yip. \n  \n 
URL:https://cmsa.fas.harvard.edu/event/yip-2026/
LOCATION:MA
CATEGORIES:Public Lecture,Special Lectures,Yip Lecture Series
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/yip_2026_final.2.jpg
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