BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.4.0.1//EN TZID:America/New_York X-WR-TIMEZONE:America/New_York BEGIN:VEVENT UID:959@fds.yale.edu DTSTART;TZID=America/New_York:20260909T113000 DTEND;TZID=America/New_York:20260909T130000 DTSTAMP:20260903T171647Z URL:https://fds.yale.edu/events/fds-colloquium-meet-the-postdocs/ SUMMARY:FDS Colloquium: Meet Our Postdocs DESCRIPTION: CATEGORIES:Fellows Events,FDS Events,Colloquium,Student Led Seminar LOCATION:Yale Institute for Foundations of Data Science\, Kline Tower 13th Floor\, Room 1327\, New Haven\, CT\, 06511\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Kline Tower 13th Floor\, Ro om 1327\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITL E=Yale Institute for Foundations of Data Science:geo:0,0 END:VEVENT BEGIN:VEVENT UID:956@fds.yale.edu DTSTART;TZID=America/New_York:20260916T113000 DTEND;TZID=America/New_York:20260916T130000 DTSTAMP:20260824T175731Z URL:https://fds.yale.edu/events/fds-colloquium-john-duchi-stanford/ SUMMARY:FDS Colloquium: John Duchi (Stanford) DESCRIPTION:\n\n\nSpeaker bio: John Duchi is an associate professor of Stat istics and Electrical Engineering at Stanford University. His work spans s tatistical learning\, optimization\, information theory\, and computation\ , with a few driving goals. (1) To discover statistical learning procedure s that optimally trade between real-world resources — computation\, communication\, privacy provided to study participants — while maint aining statistical efficiency. (2) To build efficient large-scale optimiza tion methods that address the spectrum of optimization\, machine learning\ , and data analysis problems we face\, allowing us to move beyond bespoke solutions to methods that robustly work. (3) To develop tools to assess an d guarantee the validity of — and confidence we should have in —  machine-learned systems.\n\n\n\nHe has won several awards and fellowshi ps. His paper awards include the SIAM SIGEST award for “an outstanding p aper of general interest” and best papers at the Neural Information Proc essing Systems conference\, the International Conference on Machine Learni ng\, the International Conference on Learning Theory\, and an INFORMS Appl ied Probability Society Best Student Paper Award (as advisor). He has also received the Society for Industrial and Applied Mathematics (SIAM) Early Career Prize in Optimization\, an Office of Naval Research (ONR) Young Inv estigator Award\, an NSF CAREER award\, a Sloan Fellowship in Mathematics\ , the Okawa Foundation Award\, the Association for Computing Machinery (AC M) Doctoral Dissertation Award (honorable mention)\, and U.C. Berkeley's C .V. Ramamoorthy Distinguished Research Award.\n\n\n\nHe has graduated doze ns of PhD students who have gone to careers in academia (Columbia Universi ty\, ETH Zurich\, Northwestern University\, Stanford University\, Tel Aviv University\, University of Illnois)\, technology (e.g.\, Amazon\, Apple\, Google\, Safe Super Intelligence)\, and finance.\n\n\n\nFaculty host: Ili as Zadik\n CATEGORIES:Fellows Events,FDS Events,Colloquium LOCATION:Yale Institute for Foundations of Data Science\, Kline Tower 13th Floor\, Room 1327\, New Haven\, CT\, 06511\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Kline Tower 13th Floor\, Ro om 1327\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITL E=Yale Institute for Foundations of Data Science:geo:0,0 END:VEVENT BEGIN:VEVENT UID:951@fds.yale.edu DTSTART;TZID=America/New_York:20260918T090000 DTEND;TZID=America/New_York:20260918T120000 DTSTAMP:20260824T152017Z URL:https://fds.yale.edu/events/literature-discovery-and-evidence-synthesi s-using-ai/ SUMMARY:YSPH AI Workshop Series: Gregory Laynor\, PhD (New York University) : "Literature Discovery and Evidence Synthesis Using AI" DESCRIPTION:\n\n\n\n CATEGORIES:Fellows Events,FDS Events,Public Health Data Science Data Equity LOCATION:LEPH 109 (Winslow Auditorium)\, 60 College Street\, New Haven\, CT \, 06510\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=60 College Street\, New Hav en\, CT\, 06510\, United States;X-APPLE-RADIUS=100;X-TITLE=LEPH 109 (Winsl ow Auditorium):geo:0,0 END:VEVENT BEGIN:VEVENT UID:961@fds.yale.edu DTSTART;TZID=America/New_York:20261007T120000 DTEND;TZID=America/New_York:20261007T130000 DTSTAMP:20260904T175832Z URL:https://fds.yale.edu/events/fds-colloquium-jason-klusowski-princeton/ SUMMARY:FDS Colloquium: Jason Klusowski (Princeton) DESCRIPTION:\n\n\nSpeaker Bio: Jason M. Klusowski is an Associate Professo r in the Department of Operations Research and Financial Engineering (ORFE ) at Princeton University. He is also affiliated with the Princeton Labora tory for Artificial Intelligence (AI Lab) and the Princeton Language and I ntelligence (PLI) initiative. He studies the mathematical and statistical foundations of machine learning and AI systems\, examining how data\, comp utation\, and model structure shape their capabilities and limitations.\n\ n\n\nBefore joining Princeton\, Jason was an Assistant Professor in the De partment of Statistics at Rutgers University–New Brunswick. He received his Ph.D. in Statistics and Data Science from Yale University.\n\n\n\nJaso n serves on the editorial board of \;Bernoulli\, the journal of the Be rnoulli Society. His research is partially supported by a Sloan Research F ellowship in Mathematics and \;NSF CAREER DMS-2239448\, and was previo usly supported by \;NSF DMS-2054808 \;and \;TRIPODS DATA-INSPI RE Institute CCF-1934924.\n\n\n\nJason grew up in Winnipeg\, in the heart of the Canadian Prairies. His \;spouse \;is an Assistant Professor of Marketing at Yale University.\n CATEGORIES:FDS Events,Colloquium LOCATION:Yale Institute for Foundations of Data Science & Webcast\, 219 Pro spect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=219 Prospect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITLE= Yale Institute for Foundations of Data Science & Webcast:geo:0,0 END:VEVENT BEGIN:VEVENT UID:960@fds.yale.edu DTSTART;TZID=America/New_York:20261014T120000 DTEND;TZID=America/New_York:20261014T130000 DTSTAMP:20260904T175944Z URL:https://fds.yale.edu/events/fds-colloquium-jason-klusowski/ SUMMARY:FDS Colloquium: Boris Hanin (Princeton) DESCRIPTION:\n\n\nSpeaker Bio: I am an Associate Professor at Princeton OR FE (and Associated Faculty at Princeton PACM) working on deep learning\ , probability\, and spectral asymptotics. Prior to Princeton\, I was an A ssistant Professor in Mathematics at Texas A&\;M\, an NSF Postdoc at MI T Math\, and a PhD student in Math at Northwestern\, where I was supervise d by Steve Zelditch.\n\n\n\nI am one of the co-organizers of the \;Pri nceton Probability Seminar \;and the \;alg-ML seminar.\n\n\n\nI am an advisor at \;Mithril\, \;Logical Intelligence\, \;Lumos He alth\, and \;9D Labs.\n\n\n\n\n CATEGORIES:FDS Events,Colloquium LOCATION:Yale Institute for Foundations of Data Science & Webcast\, 219 Pro spect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=219 Prospect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITLE= Yale Institute for Foundations of Data Science & Webcast:geo:0,0 END:VEVENT BEGIN:VEVENT UID:962@fds.yale.edu DTSTART;TZID=America/New_York:20261028T120000 DTEND;TZID=America/New_York:20261028T130000 DTSTAMP:20260904T180530Z URL:https://fds.yale.edu/events/fds-colloquium-mehryar-mohri-nyu/ SUMMARY:FDS Colloquium: Mehryar Mohri (NYU) DESCRIPTION:\n\n\n\n CATEGORIES:FDS Events,Colloquium LOCATION:Yale Institute for Foundations of Data Science & Webcast\, 219 Pro spect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=219 Prospect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITLE= Yale Institute for Foundations of Data Science & Webcast:geo:0,0 END:VEVENT BEGIN:VEVENT UID:957@fds.yale.edu DTSTART;TZID=America/New_York:20261104T113000 DTEND;TZID=America/New_York:20261104T130000 DTSTAMP:20260824T181244Z URL:https://fds.yale.edu/events/fds-colloquium-tim-roughgarden-columbia-a1 6z-crypto/ SUMMARY:FDS Colloquium: Tim Roughgarden (Columbia &\; a16z crypto) DESCRIPTION:\n\n\nSpeaker bio: Tim Roughgarden is a Professor in the Comput er Science Department at Columbia University and the Founding Head of Rese arch at a16z crypto. Prior to joining Columbia\, he spent 15 years on the computer science faculty at Stanford\, following a PhD at Cornell and a po stdoc at UC Berkeley. His research interests include the many connections between computer science and economics\, as well as the design\, analysis\ , applications\, and limitations of algorithms. For his research\, he has been awarded the ACM Grace Murray Hopper Award\, the Presidential Early Ca reer Award for Scientists and Engineers (PECASE)\, the Kalai Prize in Comp uter Science and Game Theory\, the Social Choice and Welfare Prize\, the M athematical Programming Society's Tucker Prize\, the INFORMS Lanchester Pr ize\, and the EATCS-SIGACT Gödel Prize. He was an invited speaker at the 2006 International Congress of Mathematicians and the Shapley Lecturer at the 2008 World Congress of the Game Theory Society. He is a Fellow of the Guggenheim Foundation\, the ACM\, the Game Theory Society\, and the Societ y for the Advancement of Economic Theory. He has written or edited ten boo ks and monographs\, including Twenty Lectures on Algorithmic Game Theory ( 2016)\, Beyond the Worst-Case Analysis of Algorithms (2020)\, and the Algo rithms Illuminated book series (2017-2020).\n\n\n\nFaculty host: Quanquan Liu\n CATEGORIES:Fellows Events,FDS Events,Colloquium LOCATION:Yale Institute for Foundations of Data Science\, Kline Tower 13th Floor\, Room 1327\, New Haven\, CT\, 06511\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Kline Tower 13th Floor\, Ro om 1327\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITL E=Yale Institute for Foundations of Data Science:geo:0,0 END:VEVENT BEGIN:VEVENT UID:963@fds.yale.edu DTSTART;TZID=America/New_York:20261111T120000 DTEND;TZID=America/New_York:20261111T130000 DTSTAMP:20260904T181105Z URL:https://fds.yale.edu/events/fds-colloquium-nicole-immorlica-yale/ SUMMARY:FDS Colloquium: Nicole Immorlica (Yale) DESCRIPTION:\n\n\nSpeaker Bio: Nicole Immorlica studies the design and oper ation of sociotechnical systems\, drawing on tools and modeling concepts f rom both theoretical computer science and economics to understand and infl uence behavior patterns in various online and offline systems\, markets\, and games. Her research has made foundational contributions to areas such as social networks\, matching markets\, and mechanism design.  \n\n\n\nPr ior to joining Yale\, Immorlica was a Senior Principal Researcher at Micro soft Research New England\, where she led the economics and computation gr oup. She holds a Ph.D. in theoretical computer science from MIT and has he ld faculty and research positions at Northwestern University\, Microsoft R esearch Redmond\, and CWI in Amsterdam. A recognized leader in her field\, Immorlica is an ACM Fellow and recipient of the Sloan Research Fellowship \, Microsoft Faculty Fellowship\, and NSF CAREER Award. \;\n\n\n\n\n CATEGORIES:FDS Events,Colloquium LOCATION:Yale Institute for Foundations of Data Science & Webcast\, 219 Pro spect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=219 Prospect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITLE= Yale Institute for Foundations of Data Science & Webcast:geo:0,0 END:VEVENT BEGIN:VEVENT UID:952@fds.yale.edu DTSTART;TZID=America/New_York:20261112T150000 DTEND;TZID=America/New_York:20261112T180000 DTSTAMP:20260824T152853Z URL:https://fds.yale.edu/events/erik-westlund-phd-johns-hopkins-university -ai-powered-coding-and-data-analysis/ SUMMARY:YSPH AI Workshop Series: Erik Westlund\, PhD (Johns Hopkins Univers ity): "AI-Powered Coding and Data Analysis" DESCRIPTION: CATEGORIES:Fellows Events,FDS Events,Public Health Data Science Data Equity LOCATION:47 College St.\, 47 College St.\, Room 106B \, New Haven\, CT\, 06 510\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=47 College St.\, Room 106B \, New Haven\, CT\, 06510\, United States;X-APPLE-RADIUS=100;X-TITLE=47 Co llege St.:geo:0,0 END:VEVENT BEGIN:VEVENT UID:953@fds.yale.edu DTSTART;TZID=America/New_York:20261113T090000 DTEND;TZID=America/New_York:20261113T120000 DTSTAMP:20260824T153005Z URL:https://fds.yale.edu/events/erik-westlund-phd-johns-hopkins-university -ai-augmented-analytics-for-data-visualization/ SUMMARY:YSPH AI Workshop Series: Erik Westlund\, PhD (Johns Hopkins Univers ity): "AI-Augmented Analytics for Data Visualization" DESCRIPTION: CATEGORIES:Fellows Events,FDS Events,Public Health Data Science Data Equity LOCATION:LEPH 109 (Winslow Auditorium)\, 60 College Street\, New Haven\, CT \, 06510\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=60 College Street\, New Hav en\, CT\, 06510\, United States;X-APPLE-RADIUS=100;X-TITLE=LEPH 109 (Winsl ow Auditorium):geo:0,0 END:VEVENT BEGIN:VEVENT UID:958@fds.yale.edu DTSTART;TZID=America/New_York:20261118T113000 DTEND;TZID=America/New_York:20261118T130000 DTSTAMP:20260824T182328Z URL:https://fds.yale.edu/events/fds-colloquium-purnamrita-sarkar-ut-austin / SUMMARY:FDS Colloquium: Purnamrita Sarkar (UT Austin) DESCRIPTION:\n\n\nSpeaker bio: Purnamrita Sarkar is an associate professor of Statistics at the University of Texas at Austin\, where she works at th e intersection of high-dimensional statistics\, optimization\, and machine learning theory. She is a co-PI in EnCORE: Institute for Emerging CORE Me thods of Data Science and is affiliated with the Institute for Foundations of Machine Learning (IFML). She also holds a courtesy appointment in Comp uter Science and is affiliated with Operations Research and Industrial Eng ineering at UT Austin.\n\n\n\nBefore joining UT Austin\, Sarkar was a post doctoral scholar at the University of California\, Berkeley\, where she wo rked on asymptotic theory for network models and the nonparametric bootstr ap for big data. She received her PhD from the Machine Learning Department at Carnegie Mellon University\, where her thesis analyzed the theoretical properties of proximity measures arising from random walks and used them to design fast algorithms. She holds a B.Tech. from the Department of Comp uter Science and Engineering at the Indian Institute of Technology\, Khara gpur.\n\n\n\nFaculty host: Andre Wibisono\n CATEGORIES:Fellows Events,FDS Events,Colloquium LOCATION:Yale Institute for Foundations of Data Science\, Kline Tower 13th Floor\, Room 1327\, New Haven\, CT\, 06511\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Kline Tower 13th Floor\, Ro om 1327\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITL E=Yale Institute for Foundations of Data Science:geo:0,0 END:VEVENT BEGIN:VEVENT UID:964@fds.yale.edu DTSTART;TZID=America/New_York:20261202T120000 DTEND;TZID=America/New_York:20261202T130000 DTSTAMP:20260904T181452Z URL:https://fds.yale.edu/events/fds-colloquium-joan-bruna-nyu/ SUMMARY:FDS Colloquium: Joan Bruna (NYU) DESCRIPTION:\n\n\nSpeaker Bio: I am a Full Professor of Computer Science\, Data Science and Mathematics (affiliated) at the Courant Institute and the Center for Data Science\, New York University. I belong to the CILVR (C omputational Intelligence\, Learning\, Vision and Robotics) group and I co -founded the MaD (Math and Data) group. During Spring 2020 I was also a Member of the Institute for Advanced Study\, part of the Special Year on Optimization\, Statistics and Theoretical Machine Learning.\n\n\n\nMy res earch interests touch several areas of Machine Learning\, Signal Processin g and High-Dimensional Statistics. I am particularly interested in mathema tical foundations of ML\, covering optimization\, representation and stati stical aspects and their interplay. I am also interested in developing app lications to computational science\, in areas such as geophysics or climat e modeling.\n\n\n\nI am also a Visiting Scholar at the \;Flatiron Inst itute \;(Simons Foundation)\, at the Center for Computational Mathemat ics.\n\n\n\n\n CATEGORIES:FDS Events,Colloquium LOCATION:Yale Institute for Foundations of Data Science & Webcast\, 219 Pro spect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=219 Prospect Street\, 13th Floor\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITLE= Yale Institute for Foundations of Data Science & Webcast:geo:0,0 END:VEVENT BEGIN:VEVENT UID:954@fds.yale.edu DTSTART;TZID=America/New_York:20261211T150000 DTEND;TZID=America/New_York:20261211T180000 DTSTAMP:20260824T181111Z URL:https://fds.yale.edu/events/jackson-higginbottom-mph-yale-school-of-pu blic-health-from-data-to-dialogue-science-communication-with-ai/ SUMMARY:YSPH AI Workshop Series: Jackson Higginbottom\, MPH (Yale School of Public Health): "From Data to Dialogue: Science Communication with AI" DESCRIPTION: CATEGORIES:Fellows Events,FDS Events,Public Health Data Science Data Equity LOCATION:LEPH 109 (Winslow Auditorium)\, 60 College Street\, New Haven\, CT \, 06510\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=60 College Street\, New Hav en\, CT\, 06510\, United States;X-APPLE-RADIUS=100;X-TITLE=LEPH 109 (Winsl ow Auditorium):geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST END:STANDARD END:VTIMEZONE END:VCALENDAR