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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250404T090000
DTEND;TZID=America/New_York:20250405T170000
DTSTAMP:20260405T030821
CREATED:20241213T155434Z
LAST-MODIFIED:20250415T134135Z
UID:10003651-1743757200-1743872400@cmsa.fas.harvard.edu
SUMMARY:Current Developments in Mathematics 2025
DESCRIPTION:When: April 4\, 2025 – April 5\, 2025\n\n\nWhere: Science Center Hall C \nAddress: 1 Oxford Street\, Cambridge\, MA 02138\, United States\n\nSpeaker: Michael Chapman – NYU | Pazit Haim-Kislev – Institute for Advanced Study | Jianfeng Lin – Tsinghua University | Laura Monk – University of Bristol | Ramon van Handel – Princeton University\n\nIN-PERSON REGISTRATION\nLimited funding to help defray travel expenses is available for graduate students and recent PhDs. If you are a graduate student or postdoc and would like to apply for support\, please register and send a letter to cdm@math.harvard.edu. \nA letter indicating your name\, address\, current status\, university affiliation\, citizenship\, and area of study. F1 visa holders are eligible to apply for support. If you are a graduate student\, please send a brief letter of recommendation from a faculty member to explain the relevance of the conference to your studies or research. \nDetailed schedule of lectures and events coming soon. \nOrganizers: David Jerison\, Paul Seidel\, Nike Sun (MIT); Denis Auroux\, Mark Kisin\, Lauren Williams\, Horng-Tzer Yau\, Shing-Tung Yau (Harvard).  \nSponsored by the National Science Foundation (pending)\, Harvard University Mathematics\, and the Massachusetts Institute of Technology. \nHarvard University is committed to maintaining a safe and healthy educational and work environment in which no member of the University community is\, on the basis of sex\, sexual orientation\, or gender identity\, excluded from participation in\, denied the benefits of\, or subjected to discrimination in any University program or activity. More information can be found here. \n\n\nCurrent Developments in Mathematics 2025 \n \n 
URL:https://cmsa.fas.harvard.edu/event/cdm2025/
LOCATION:Harvard Science Center\, 1 Oxford Street\, Cambridge\, MA\, 02138
CATEGORIES:Conference,Event
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/CDM-2025-Poster-1115-scaled-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240320T090000
DTEND;TZID=America/New_York:20240320T103000
DTSTAMP:20260405T030821
CREATED:20240105T062652Z
LAST-MODIFIED:20241212T160245Z
UID:10001116-1710925200-1710930600@cmsa.fas.harvard.edu
SUMMARY:CMSA/Tsinghua Math-Science Literature Lecture: Cameron Gordon
DESCRIPTION:CMSA/Tsinghua Math-Science Literature Lecture \nProf. Cameron Gordon presented a lecture in the CMSA/Tsinghua Math-Science Literature Lecture Series. \n \nDate: Wednesday\, March 20\, 2024 \nTime: 9:00–10:30 am ET \nLocation: Room G10\, CMSA\, 20 Garden Street\, Cambridge MA and via Zoom Webinar \nTitle: The Unknotting Number of a Knot \nAbstract: One of the oldest and most natural knot invariants is the unknotting number\, which is the minimum number of times a knot must be allowed to pass through itself in order to unknot it. Although this invariant was discussed by Tait almost 150 years ago\, it is still poorly understood. For instance it is not known if it is algorithmically computable\, and indeed there is an 8-crossing knot whose unknotting number is unknown. Nevertheless\, the many developments in knot theory since Tait have led to some understanding of unknotting number\, for example through its connection with 4-dimensional topology. We will give a historical account of this progress\, and discuss some of the questions that are still open. \n  \n\nBeginning in Spring 2020\, the CMSA began hosting a lecture series on literature in the mathematical sciences\, with a focus on significant developments in mathematics that have influenced the discipline\, and the lifetime accomplishments of significant scholars. \n  \nCMSA COVID-19 Policies
URL:https://cmsa.fas.harvard.edu/event/mathscilit2024_cg/
LOCATION:Hybrid
CATEGORIES:Event,Math Science Literature Lecture Series
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/Mathlit_Gordon_letter.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240207T090000
DTEND;TZID=America/New_York:20240207T103000
DTSTAMP:20260405T030821
CREATED:20240103T172620Z
LAST-MODIFIED:20241212T160057Z
UID:10001103-1707296400-1707301800@cmsa.fas.harvard.edu
SUMMARY:CMSA/Tsinghua Math-Science Literature Lecture: Amie Wilkinson
DESCRIPTION:CMSA/Tsinghua Math-Science Literature Lecture \nProf. Amie Wilkinson gave a lecture in the CMSA/Tsinghua Math-Science Literature Lecture Series. \nDate: Wednesday\, February 7\, 2024 \nTime: 9:00–10:30 am ET \nTitle: Stretching and shrinking: 85 years of the Hopf argument for ergodicity\nAbstract:  The early 20th century witnessed an explosion of activity\, much of it centered at Harvard\, on rigorizing the property of ergodicity first proposed by Boltzmann in his 1898  Ergodic Hypothesis for ideal gases. Earlier\, in the 1880’s\, Henri Poincaré and Felix Klein had also initiated a study of discrete groups of hyperbolic isometries. The geodesics in hyperbolic manifolds were discovered to carry a rich structure\, first investigated from a topological perspective by Emil Artin and Marston Morse.  The time was ripe to investigate geodesics in hyperbolic manifolds from an ergodic theoretic (i.e.\, statistical) perspective\, and indeed Gustav Hedlund proved in 1934 that the geodesic flow for closed hyperbolic surfaces is ergodic.\n\nIn 1939\, Eberhard Hopf published a proof of the ergodicity of geodesic flows for negatively curved surfaces containing a novel method\, now known as the Hopf argument.  The Hopf argument\, a “soft” argument for ergodicity of systems with some hyperbolicity (the “stretching and shrinking” in the title) has since seen wide application in geometry\, representation theory and dynamics.  I will discuss three results relying on the Hopf argument:\n\nTheorem (E. Hopf\, 1939\, D. Anosov\, 1967): In a closed manifold of negative sectional curvatures\, almost every geodesic is directionally equidistributed.\n\nTheorem (G. Mostow\, 1968) Let M and N be closed hyperbolic manifolds of dimension at least 3\, and let f:M->N be a homotopy equivalence.  Then f is homotopic to a unique isometry.\n\nTheorem (R. Mañé\, 1983\, A. Avila- S. Crovisier- A.W.\, 2022) The C^1 generic symplectomorphism of a closed symplectic manifold with positive entropy is ergodic.\n  \n\nBeginning in Spring 2020\, the CMSA began hosting a lecture series on literature in the mathematical sciences\, with a focus on significant developments in mathematics that have influenced the discipline\, and the lifetime accomplishments of significant scholars. \n 
URL:https://cmsa.fas.harvard.edu/event/mathscilit2024_aw/
LOCATION:Virtual
CATEGORIES:Event,Math Science Literature Lecture Series
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/Mathlit_Wilkinson_letter.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231120T090000
DTEND;TZID=America/New_York:20231120T103000
DTSTAMP:20260405T030821
CREATED:20240108T175825Z
LAST-MODIFIED:20240222T055339Z
UID:10001130-1700470800-1700476200@cmsa.fas.harvard.edu
SUMMARY:CMSA/Tsinghua Math-Science Literature Lecture: Scott Kominers
DESCRIPTION:CMSA/Tsinghua Math-Science Literature Lecture \n \nProf. Scott Kominers will present a lecture in the CMSA/Tsinghua Math-Science Literature Lecture Series. \nDate: Monday\, November 20\, 2023 \nTime: 9:00 – 10:30 am ET \nLocation: Via Zoom Webinar \nTitle: 60 Years of Matching: From Gale and Shapley to Trading Networks \nAbstract: Gale and Shapley’s 1962 American Mathematical Monthly paper\, “College Admissions and the Stability of Marriage\,” is by now one of the most cited articles in the journal’s history\, having served as the foundation for an entire branch of the field of market design. This success owes in large part to the beautiful\, applicable\, and surprisingly general theory of matching mechanisms uncovered in Gale and Shapley’s work. This talk traces the history and evolution of matching theory from that paper forward to the present day\, along the way touching on real-world applications to everything from medical residency matching to electricity markets. \nModerator: Sergiy Verstyuk \n\nBeginning in Spring 2020\, the CMSA began hosting a lecture series on literature in the mathematical sciences\, with a focus on significant developments in mathematics that have influenced the discipline\, and the lifetime accomplishments of significant scholars. \n  \nCMSA COVID-19 Policies
URL:https://cmsa.fas.harvard.edu/event/mathscilit2023/
LOCATION:Virtual
CATEGORIES:Event,Math Science Literature Lecture Series
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/Mathlit_Kominers_8.5x11.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200824T100000
DTEND;TZID=America/New_York:20200825T140500
DTSTAMP:20260405T030821
CREATED:20230707T104105Z
LAST-MODIFIED:20250305T185337Z
UID:10000137-1598263200-1598364300@cmsa.fas.harvard.edu
SUMMARY:2020 Big Data Conference (Virtual)
DESCRIPTION:On August 24-25\, 2020 the CMSA hosted our sixth annual Conference on Big Data. The Conference featured many speakers from the Harvard community as well as scholars from across the globe\, with talks focusing on computer science\, statistics\, math and physics\, and economics. The 2020 Big Data Conference took place virtually. \n\nVideos of the talks are available in this youtube playlist.\n  \nOrganizers:  \n\nShing-Tung Yau\, William Caspar Graustein Professor of Mathematics\, Harvard University\nScott Duke Kominers\, MBA Class of 1960 Associate Professor\, Harvard Business\nHorng-Tzer Yau\, Professor of Mathematics\, Harvard University\nSergiy Verstyuk\, CMSA\, Harvard University\n\nSpeakers:\n \n\nSanjeev Arora\, Princeton University\nJuan Camilo Castillo\, University of Pennsylvania\nJoseph Dexter\, Dartmouth College\nNicole Immorlica\, Microsoft\nAmin Saberi\, Stanford University\nVira Semenova\, University of California\, Berkeley\nVarda Shalev\, Tel Aviv University
URL:https://cmsa.fas.harvard.edu/event/2020-big-data-conference-virtual/
LOCATION:CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Big Data Conference,Conference,Event
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/Big-Data-2020-pdf.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200325T100000
DTEND;TZID=America/New_York:20200429T140000
DTSTAMP:20260405T030821
CREATED:20230715T074440Z
LAST-MODIFIED:20250328T195935Z
UID:10000128-1585130400-1588168800@cmsa.fas.harvard.edu
SUMMARY:Frontiers in Applied Mathematics and Computation
DESCRIPTION:Together with the School of Engineering and Applied Sciences\, the CMSA will be hosting a lecture series on the Frontiers in Applied Mathematics and Computation. Talks in this series will aim to highlight current research trends at the interface of applied math and computation and will explore the application of these trends to challenging scientific\, engineering\, and societal problems. \nLectures will take place on March 25\, April 1\, and April 29\, 2021. \nSpeakers: \n\nGeorge Biros (U.T. Austin)\nLaura Grigori (INRIA Paris)\nSamory K. Kpotufe (Columbia)\nJonas Martin Peters (University of Copenhagen)\nJoseph M. Teran (UCLA)\n\n\nThe schedule below will be updated as talks are confirmed. \n  \n\n\n\nDate/Time\nSpeaker\nTitle/Abstract\n\n\n\n\n3/25/2021\n10:00 – 11:00am ET\nJoseph M. Teran\nTitle: Affine-Particle-In-Cell with Conservative Resampling and Implicit Time Stepping for Surface Tension Forces \nAbstract: The Particle-In-Cell (PIC) method of Harlow is one of the first and most widely used numerical methods for Partial Differential Equations (PDE) in computational physics. Its relative efficiency\, versatility and intuitive implementation have made it particularly popular in computational incompressible flow\, plasma physics and large strain elastoplasticity. PIC is characterized by its dual particle/grid (Lagrangian/Eulerian) representation of material where particles are generally used to track material transport in a Lagrangian way and a structured Eulerian grid is used to discretize remaining spatial derivatives in the PDE. I will discuss the importance of conserving linear and angular momentum when switching between these two representations and the recent Affine-Particle-In-Cell (APIC) extension to PIC designed for this conservation. I will also discuss a recent APIC technique for discretizing surface tension forces and their linearizations needed for implicit time stepping. This technique is characterized by a novel surface resampling strategy and I will discuss a generalization of the APIC conservation to this setting.\n\n\n4/1/2021\n9:00 – 10:00am ET\nGeorge Biros\nTitle: Inverse biophysical modeling and its application to neurooncology \nAbstract: A predictive\, patient-specific\, biophysical model of tumor growth would be an invaluable tool for causally connecting diagnostics with predictive medicine. For example\, it could be used for tumor grading\, characterization of the tumor microenvironment\, recurrence prediction\, and treatment planning\,  e.g.\, chemotherapy protocol or enrollment eligibility for clinical trials. Such a model also would provide an important bridge between molecular drivers of tumor growth and imaging-based phenotypic signatures\, and thus\,  help identify and quantify mechanism-based associations between these two. Unfortunately\, such a predictive biophysical model does not exist. Existing models undergoing clinical evaluation are too simple–they do not even capture the MRI phenotype. Although many highly complex models have been proposed\, the major hurdle in deploying them clinically is their calibration and validation. \nIn this talk\, I will discuss the challenges related to the calibration and validation of biophysical models\, and in particular the mathematical structure of the underlying inverse problems. I will also present a new algorithm that localizes the tumor origin within a few millimeters.\n\n\n4/1/2021\n10:00 – 11:00am ET\nSamory K. Kpotufe\nTitle: From Theory to Clustering \nAbstract: Clustering is a basic problem in data analysis\, consisting of partitioning data into meaningful groups called clusters. Practical clustering procedures tend to meet two criteria: flexibility in the shapes and number of clusters estimated\, and efficient processing. While many practical procedures might meet either of these criteria in different applications\, general guarantees often only hold for theoretical procedures that are hard if not impossible to implement. A main aim is to address this gap.\nWe will discuss two recent approaches that compete with state-of-the-art procedures\, while at the same time relying on rigorous analysis of clustering. The first approach fits within the framework of density-based clustering\, a family of flexible clustering approaches. It builds primarily on theoretical insights on nearest-neighbor graphs\, a geometric data structure shown to encode local information on the data density. The second approach speeds up kernel k-means\, a popular Hilbert space embedding and clustering method. This more efficient approach relies on a new interpretation – and alternative use – of kernel-sketching as a geometry-preserving random projection in Hilbert space.\nFinally\, we will present recent experimental results combining the benefits of both approaches in the IoT application domain.\nThe talk is based on various works with collaborators Sanjoy Dasgupta\, Kamalika Chaudhuri\, Ulrike von Luxburg\, Heinrich Jiang\, Bharath Sriperumbudur\, Kun Yang\, and Nick Feamster.\n\n\n4/29/2021\n12:00 – 1:00pm ET\nJonas Martin Peters\nTitle: Causality and Distribution Generalization \nAbstract: Purely predictive methods do not perform well when the test distribution changes too much from the training distribution. Causal models are known to be stable with respect to distributional shifts such as arbitrarily strong interventions on the covariates\, but do not perform well when the test distribution differs only mildly from the training distribution. We discuss anchor regression\, a framework that provides a trade-off between causal and predictive models. The method poses different (convex and non-convex) optimization problems and relates to methods that are tailored for instrumental variable settings. We show how similar principles can be used for inferring metabolic networks. If time allows\, we discuss extensions to nonlinear models and theoretical limitations of such methodology.\n\n\n4/29/2021\n1:00 – 2:00pm ET\nLaura Grigori\nTitle: Randomization and communication avoiding techniques for large scale linear algebra \nAbstract: In this talk we will discuss recent developments of randomization and communication avoiding techniques for solving large scale linear algebra operations. We will focus in particular on solving linear systems of equations and we will discuss a randomized process for orthogonalizing a set of vectors and its usage in GMRES\, while also exploiting mixed precision.  We will also discuss a robust multilevel preconditioner that allows to further accelerate solving large scale linear systems on parallel computers.
URL:https://cmsa.fas.harvard.edu/event/frontiers-in-applied-mathematics-and-computation/
LOCATION:Virtual
CATEGORIES:Event,Special Lectures
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/CDAM-poster.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191202T090000
DTEND;TZID=America/New_York:20191204T170000
DTSTAMP:20260405T030821
CREATED:20230715T073716Z
LAST-MODIFIED:20250305T191848Z
UID:10000125-1575277200-1575478800@cmsa.fas.harvard.edu
SUMMARY:Quantum Matter Workshop
DESCRIPTION:On December 2-4\, 2019 the CMSA will be hosting a workshop on Quantum Matter as part of our program on Quantum Matter in Mathematics and Physics. The workshop will be held in room G10 of the CMSA\, located at 20 Garden Street\, Cambridge\, MA. \nPictures can be found here.\n \nOrganizers: Juven Wang (CMSA)\, Xiao-Gang Wen (MIT)\, and Shing-Tung Yau (Harvard) \nConfirmed Speakers:  \n\nZhen Bi\, MIT | Video\nClaudio Chamon\, BU | Video\nTrithep Devakul\, Princeton | Video\nAnushya Chandran\, BU\nLiang Fu\, MIT\nAndrey Gromov\, Brown | Video\nDaniel Louis Jafferis\, Harvard | Video\nEslam Khalaf\, Harvard | Video\nHong Liu\, MIT\nShang Liu\, Harvard | Video\nEmil Prodan\, Yeshiva | Video\nSubir Sachdev\, Harvard | Video\nDries Sels\, Harvard | Video\nYuya Tanizaki\, NCSU | Video\nSenthil Todadri\, MIT | Video\nJuven Wang\, CMSA | Video\nYifan Wang\, CMSA | Video\nXiao-Gang Wen\, MIT\nXueda Wen\, MIT | Video\nXi Yin\, Harvard | Video\nYizhi You\, Princeton | Video\nYunqin Zheng\, Princeton | Video\n\n 
URL:https://cmsa.fas.harvard.edu/event/quantum-matter-workshop/
LOCATION:CMSA Room G10\, CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Event,Workshop
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/Quantum-12x18-1-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190819T083000
DTEND;TZID=America/New_York:20190820T164000
DTSTAMP:20260405T030821
CREATED:20230707T174003Z
LAST-MODIFIED:20250328T145128Z
UID:10000116-1566203400-1566319200@cmsa.fas.harvard.edu
SUMMARY:2019 Big Data Conference
DESCRIPTION:On August 19-20\, 2019 the CMSA hosted the fifth annual Conference on Big Data. The Conference will featured many speakers from the Harvard community as well as scholars from across the globe\, with talks focusing on computer science\, statistics\, math and physics\, and economics. \nThe talks will take place in Science Center Hall D\, 1 Oxford Street. \nVideos can be found in the Youtube playlist.
URL:https://cmsa.fas.harvard.edu/event/2019-big-data-conference/
LOCATION:CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Big Data Conference,Conference,Event
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/Big-Data-2019-Poster-5-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190318T090000
DTEND;TZID=America/New_York:20190320T170000
DTSTAMP:20260405T030821
CREATED:20230715T091111Z
LAST-MODIFIED:20250304T213630Z
UID:10000109-1552899600-1553101200@cmsa.fas.harvard.edu
SUMMARY:Workshop on Mirror Symmetry and Stability
DESCRIPTION:This three-day workshop will take place at Harvard University on March 18-20\, 2019 in Science Center room 507. The main topic will be stability conditions in homological mirror symmetry. This workshop is funded by the Simons Collaboration in Homological Mirror Symmetry. \nOrganizers: Denis Auroux\, Yu-Wei Fan\, Hansol Hong\, Siu-Cheong Lau\, Bong Lian\, Shing-Tung Yau\, Jingyu Zhao \nSpeakers: \nDylan Allegretti (Sheffield)\nTristan Collins (MIT)\nNaoki Koseki (Tokyo)\nChunyi Li (Warwick)\nJason Lo (CSU Northridge)\nEmanuele Macrì (NEU & IHES)\nGenki Ouchi (Riken iTHEMS)\nPranav Pandit (ICTS)\nLaura Pertusi (Edinburgh)\nJacopo Stoppa (SISSA)\nAlex Takeda (UC Berkeley)\nXiaolei Zhao (UC Santa Barbara) \nMore details will be added later. \nVisit the event page for more information.  \n  \n 
URL:https://cmsa.fas.harvard.edu/event/workshop-on-mirror-symmetry-and-stability/
LOCATION:CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Event,Workshop
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/HMS-2019-1-768x994-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190118T083000
DTEND;TZID=America/New_York:20190121T173000
DTSTAMP:20260405T030821
CREATED:20230715T090318Z
LAST-MODIFIED:20241212T192232Z
UID:10000105-1547800200-1548091800@cmsa.fas.harvard.edu
SUMMARY:Geometric Analysis Approach to AI Workshop
DESCRIPTION:Due to inclement weather on Sunday\, the second half of the workshop has been moved forward one day. Sunday and Monday’s talks will now take place on Monday and Tuesday.\nOn January 18-21\, 2019 the Center of Mathematical Sciences and Applications will be hosting a workshop on the Geometric Analysis Approach to AI. \nThis workshop will focus on the theoretic foundations of AI\, especially various methods in Deep Learning. The topics will cover the relationship between deep learning and optimal transportation theory\, DL and information geometry\, DL Learning and information bottle neck and renormalization theory\, DL and manifold embedding and so on. Furthermore\, the recent advancements\, novel methods\, and real world applications of Deep Learning will also be reported and discussed. \nThe workshop will take place from January 18th to January 23rd\, 2019. In the first four days\, from January 18th to January 21\, the speakers will give short courses; On the 22nd and 23rd\, the speakers will give conference representations. This workshop is organized by Xianfeng Gu and Shing-Tung Yau. \nThe workshop will be held in room G10 of the CMSA\, located at 20 Garden Street\, Cambridge\, MA.  \nSpeakers:  \n\nSarah Adel Bargal\, Boston University\nGuy Bresler\, MIT\nTina Eliassi-Rad\, Northeastern\nYun Raymond Fu\, Northeastern\nBrian Kulis\, Boston University\nNa Lei\, Dalian University of Technology\nYi Ma\, UC Berkeley\nMinh Hoai Nguyen\, Stony Brook\nFrancesco Orabona\, Boston University\nCengiz Pehlevan\, Harvard SEAS\nTomaso Poggio\, MIT\nZhiwei Qin\, DiDi Research America\nKate Saenko\, Boston University\nDimitris Samaras\, Stony Brook\nJohannes Schmidt-Hieber\, University of Twente\nSteven Skiena\, Stony Brook\nVivienne Sze\, MIT\nNaftali Tishby\, ICNC\nJiajun Wu\, MIT\nYing Nian Wu\, UCLA\nGangqiang Xia\, Morgan Stanley\nEric Xing\, Carnegie Mellon\nDonghui Yan\, UMass Dartmouth\nAlan Yuille\, Johns Hopkins\nJuhua Zhu\,  Argus
URL:https://cmsa.fas.harvard.edu/event/geometric-analysis-approach-to-ai-workshop/
LOCATION:CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Event,Workshop
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/Geo-Analysis-Poster-final-e1547584167900.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180929T083000
DTEND;TZID=America/New_York:20180930T150000
DTSTAMP:20260405T030821
CREATED:20230715T084506Z
LAST-MODIFIED:20250328T145116Z
UID:10000090-1538209800-1538319600@cmsa.fas.harvard.edu
SUMMARY:F-Theory Workshop
DESCRIPTION:The CMSA hosted an F-Theory workshop September 29-30\, 2018. The workshop was held in room G10 of the CMSA\, located at 20 Garden Street\, Cambridge\, MA. \nYoutube Playlist  \nOrganizers: \n\nPaolo Aluffi (Florida State)\nLara B. Anderson (Virginia Tech)\nMboyo Esole (Northeastern)\nShing-Tung Yau (Harvard)\n\nSpeakers: \n\nMirjam Cvetic\, University of Pennsylvania\nTommaso de Fernex\, University of Utah\nJames Gray\, Virginia Tech\nJonathan Heckman\, University of Pennsylvania\nMonica Kang\, Harvard University\nSándor Kovács\, University of Washington\nAnatoly Libgober\, UIC\nMatilde Marcolli\, Caltech\, University of Toronto\, and Perimeter Institute\nWashington Taylor\, MIT\nCumrun Vafa\, Harvard University
URL:https://cmsa.fas.harvard.edu/event/f-theory-conference/
LOCATION:CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Event,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180402T163000
DTEND;TZID=America/New_York:20180403T180000
DTSTAMP:20260405T030821
CREATED:20230717T174857Z
LAST-MODIFIED:20260218T203218Z
UID:10000076-1522686600-1522778400@cmsa.fas.harvard.edu
SUMMARY:Math Science Lectures in Honor of Raoul Bott\, April 2-3
DESCRIPTION:On April 2-3\, the CMSA will be hosting two lectures by Freddy Cachazo (Perimeter Institute) on “Geometry and Combinatorics in Particle Interactions.”  This will be the first of the new annual Bott Math Science Lecture Series hosted by the CMSA. \nThe lectures will take place from 4:30-5:30pm in Science Center\, Hall D. \n \n \n  \n 
URL:https://cmsa.fas.harvard.edu/event/math-science-lectures-in-honor-of-raoul-bott-april-2-3/
LOCATION:Harvard Science Center\, 1 Oxford Street\, Cambridge\, MA\, 02138
CATEGORIES:Event,Math Science Lectures in Honor of Raoul Bott,Special Lectures
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/Cachazo-e1519325938458.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180324T090000
DTEND;TZID=America/New_York:20180326T181500
DTSTAMP:20260405T030821
CREATED:20230717T174646Z
LAST-MODIFIED:20250304T212149Z
UID:10000074-1521882000-1522088100@cmsa.fas.harvard.edu
SUMMARY:Workshop on Geometry\, Imaging\, and Computing
DESCRIPTION:On March 24-26\, The Center of Mathematical Sciences and Applications will be hosting a workshop on Geometry\, Imaging\, and Computing\, based off  the journal of the same name. The workshop will take place in CMSA building\, G10. \nThe organizing committee consists of Yang Wang (HKUST)\, Ronald Lui (CUHK)\, David Gu (Stony Brook)\, and Shing-Tung Yau (Harvard). \nConfirmed Speakers: \n\nJianfeng Cai (HKUST)\nShikui Chen (Stony Brook)\nJerome Darbon (Brown University)\nLaurent Demanet (MIT)\nDavid Gu (Stony Brook)\nMonica Hurdal (Florida State University)\nRongjie Lai (RPI)\nYue Lu (Harvard)\nRonald Lok Ming Lui (CUHK)\nLakshminarayanan Mahadevan (Harvard)\nEric Miller (Tufts)\nAshley Prater  (AFOSR)\nLixin Shen (Syracuse University)\nAllen Tannenbaum (Stony Brook)\nGuowei Wei (Michigan State)\nStephen Wong (Houston Methodist)\nJun Zhang (University of Michigan\, Ann Arbor)\nSong Zhang (Purdue University)\nHongkai Zhao (University of California\, Irvine)
URL:https://cmsa.fas.harvard.edu/event/workshop-on-geometry-imaging-and-computing/
LOCATION:CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Event,Workshop
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/GIC-Poster-2-e1520002551865.png
END:VEVENT
END:VCALENDAR