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Speaker:Title: Big Data ConferenceVenue: VirtualOn August 31-Sep 1, 2023 the CMSA will host the ninth annual Conference on Big Data. The Big Data Conference features 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. Location: Harvard University (specific location TBA). Directions and Recommended Lodging Format: This conference will be held in hybrid format, both in person and via Zoom Webinar. Registration is required. In-person registration (link). Zoom Webinar registration (link). Organizers: Horng-Tzer Yau, Mathematics and CMSA, Harvard University Michael Douglas, CMSA, Harvard University Yannai Gonczarowski, Economics and Computer Science, Harvard University Lucas Janson, Statistics and Computer Science, Harvard University Tracy Ke, Statistics, Harvard University Lu Yue, Electrical… |
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Speaker:Title: GRAMSIA: Graphical Models, Statistical Inference, and AlgorithmsVenue: CMSA Room G10On May 16 – May 19, 2023 the CMSA will be hosting a four-day workshop on GRAMSIA: Graphical Models, Statistical Inference, and Algorithms. The workshop will be held in room G10 of the CMSA, located at 20 Garden Street, Cambridge, MA. This workshop is organized by David Gamarnik (MIT), Kavita Ramanan (Brown), and Prasad Tetali (Carnegie Mellon). The purpose of this workshop is to highlight various mathematical questions and issues associated with graphical models and message-passing algorithms, and to bring together a group of researchers for discussion of the latest progress and challenges ahead. In addition to the substantial impact of graphical models on applied areas, they are also connected to various branches of the mathematical sciences. Rather than focusing… |
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Speaker:Title: Workshop on Global Categorical SymmetriesVenue: CMSA Room G10The CMSA will be hosting a Workshop on Global Categorical Symmetries from May 7 – 12, 2023. Location: G-10, CMSA, 20 Garden Street, Cambridge MA 02138 Participation to the workshop is by invitation. Public lectures will be announced in due course. |
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Speaker:Title: Current Developments in Mathematics ConferenceVenue: Harvard Science CenterCurrent Developments in Mathematics 2023 Harvard University Science Center, Lecture Hall C April 7-8, 2023 Speakers: Amol Aggarwal – Columbia University Bhargav Bhatt – Institute for Advanced Study, Princeton University, & University of Michigan Paul Bourgade – New York University, Courant Institute Vesselin Dimitrov – Institute for Advanced Study & Georgia Institute of Technology Greta Panova – University of Southern California For more information, and to register, please visit: https://www.math.harvard.edu/event/current-developments-in-mathematics-2023/ Organizers: David Jerison, Paul Seidel, Nike Sun (MIT); Denis Auroux, Mark Kisin, Lauren Williams, Horng-Tzer Yau Sponsored by the National Science Foundation, Harvard University Mathematics, Harvard University Center of Mathematical Sciences and Applications, and the Massachusetts Institute of Technology. Harvard University is committed to maintaining a safe… |
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Speaker:Title: CMSAMATH Bi-Annual GatheringVenue: Common Room, CMSAOn Friday, March 24th, 4:30PM – 6PM, the CMSA will host the CMSA/MATH Bi-Annual Gathering for Harvard CMSA and Math affiliates in the Common Room at 20 Garden Street, Cambridge MA 02138. |
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Speaker: Cynthia DworkTitle: Ding Shum LectureVenue: Harvard Science CenterOn March 21, 2023, the CMSA will host the fourth annual Ding Shum Lecture, given by Cynthia Dwork (Harvard SEAS and Microsoft Research). Time: 5:00-6:00 pm ET Location: Harvard University Science Center Hall D This event will be held in person and via Zoom webinar. Registration is required. In-person registration (link) Zoom Webinar registration (link) Title: Measuring Our Chances: Risk Prediction in This World and its Betters Abstract: Prediction algorithms score individuals, assigning a number between zero and one that is often interpreted as an individual probability: a 0.7 “chance” that this child is in danger in the home; an 80% “probability” that this woman will succeed if hired; a 1/3 “likelihood” that they will graduate within 4 years of admission. But what do words… |
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Speaker:Title: Conference on Geometry and StatisticsVenue: CMSA Room G10On Feb 27-March 1, 2023 the CMSA will host a Conference on Geometry and Statistics. Location: G10, CMSA, 20 Garden Street, Cambridge MA 02138 This conference will be held in person. Directions and Recommended Lodging Registration is required. Register here to attend in-person. Organizing Committee: Stephan Huckemann (Georg-August-Universität Göttingen) Ezra Miller (Duke University) Zhigang Yao (Harvard CMSA and Committee Chair) Scientific Advisors: Horng-Tzer Yau (Harvard CMSA) Shing-Tung Yau (Harvard CMSA) Speakers: Tamara Broderick (MIT) David Donoho (Stanford) Ian Dryden (Florida International University in Miami) David Dunson (Duke) Charles Fefferman (Princeton) Stefanie Jegelka (MIT) Sebastian Kurtek (OSU) Lizhen Lin (Notre Dame) Steve Marron (U North Carolina) Ezra Miller (Duke) Hans-Georg Mueller (UC Davis) Nicolai Reshetikhin (UC Berkeley) Wolfgang Polonik… |
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Speaker: Nazim BouattaTitle: Special Lectures on Machine Learning and Protein FoldingVenue: CMSA Room G10The CMSA will host a series of three 90-minute lectures on the subject of machine learning for protein folding. Thursday Feb. 9, Thursday Feb. 16, & Thursday March 9, 2023, 3:30-5:00 pm ET Location: G10, CMSA, 20 Garden Street, Cambridge MA 02138 Directions and Recommended Lodging These special lectures will be hybrid: they will be both in-person and online. Registration is required. In-person registration Zoom webinar registration form: Zoom Webinar. Speaker: Nazim Bouatta, Harvard Medical School Abstract: AlphaFold2, a neural network-based model which predicts protein structures from amino acid sequences, is revolutionizing the field of structural biology. This lecture series, given by a leader of the OpenFold project which created an open-source version of AlphaFold2, will explain the… |
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Speaker: Andrew StromingerTitle: Third Annual Yip LectureVenue: Harvard Science CenterAndrew Strominger will give the Third Annual Yip Lecture on February 2, 2023. Time: 7:00-8:00 pm ET Location: Harvard Science Center Hall A Registration is required. In-person Registration Zoom Webinar Registration Title: Black Holes: The Most Mysterious Objects in the Universe Abstract: In the last decade black holes have come to center stage in both theoretical and observational science. Theoretically, they were shown a half-century ago by Stephen Hawking and others to obey a precise but still-mysterious set of laws which imply they are paradoxically both the simplest and most complex objects in the universe. Compelling progress on this paradox has occurred recently. Observationally, they have finally and dramatically been seen in the sky, including at LIGO and… |
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Speaker:Title: Representation Theory, CalabiYau Manifolds, and Mirror SymmetryVenue: CMSA Room G10Videos are available on the CMSA Youtube Playlist. On November 28 – Dec 1, 2022, the CMSA hosted a Workshop on Representation Theory, Calabi-Yau Manifolds, and Mirror Symmetry. Organizers: An Huang (Brandeis University) | Siu-Cheong Lau (Boston University) | Tsung-Ju Lee (CMSA, Harvard) | Andrew Linshaw (University of Denver) Scientific Advisor: Shing-Tung Yau (Harvard, Tsinghua) Location: Room G10, CMSA, 20 Garden Street, Cambridge MA 02138 Directions and Recommended Lodging The conference was held in hybrid format, both in-person and online. The workshop was partially supported by Simons and NSF Grant DMS-2227199. Speakers: Tomoyuki Arakawa (Kyoto) Thomas Creutzig (Edmonton) Jonathan Mboyo Esole (Northeastern) Fei Han (National University of Singapore) Shinobu Hosono (Gakushuin University) Flor Orosz Hunziker (Colorado) Cuipo Jiang… |
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Speaker: Hugh WoodinTitle: CMSATsinghua Math-Science Literature Lecture: Large cardinals and small sets: The AD+ Duality ProgramVenue: CMSA Room G10CMSA/Tsinghua Math-Science Literature Lecture Prof. Hugh Woodin will present a lecture in the CMSA/Tsinghua Math-Science Literature Lecture Series. Date: Wednesday, November 9, 2022 Time: 9:30 – 11:00 am ET Location: Via Zoom Webinar and Room G10, CMSA, 20 Garden Street, Cambridge MA 02138 Directions and Recommended Lodging Registration is required. Register here to attend virtually: Zoom Webinar Registration Register here to attend in-person: In-Person Registration Title: Large cardinals and small sets: The AD+ Duality Program Abstract: The determinacy axiom, AD, was introduced by Mycielski and Steinhaus over 60 years ago as an alternative to the Axiom of Choice for the study of arbitrary sets of real numbers. The modern view is that determinacy axioms concern generalizations of the… |
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Speaker:Title: CMSAMATH Fall GatheringVenue: Harvard Science CenterCMSA/MATH Fall Gathering Friday, Sep 23, 2022 4:30–6:00 pm All CMSA and Math affiliates are invited. |
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Speaker: Xiaohong Chen (Yale), Miles Cranmer (Princeton) Jessica Jeffers (U Chicago), Dan Roberts (MIT)Title: Big Data ConferenceVenue: virtualOn August 26, 2022 the CMSA hosted our eighth annual Conference on Big Data. The Big Data Conference features 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 2022 Big Data Conference took place virtually on Zoom. Organizers: Scott Duke Kominers, MBA Class of 1960 Associate Professor, Harvard Business Horng-Tzer Yau, Professor of Mathematics, Harvard University Sergiy Verstyuk, CMSA, Harvard University Speakers: Xiaohong Chen, Yale Miles Cranmer, Princeton Jessica Jeffers, University of Chicago Dan Roberts, MIT Schedule 9:00 am Conference Organizers Introduction and Welcome 9:10 am – 9:55 am Xiaohong Chen Title: On ANN optimal estimation and inference for policy… |
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Speaker:Title: Phase Transitions and Topological Defects in the Early UniverseVenue: CMSA Room G10On August 2–5, the CMSA hosted a workshop on Phase Transitions and Topological Defects in the Early Universe. The workshop was held in room G10 of the CMSA, located at 20 Garden Street, Cambridge, MA and online via Zoom webinar. The next decade will see a wealth of new cosmological data, which can lead to new insights into fundamental physics. Upcoming facilities (such as LISA) will be able to probe signals of fascinating phenomena in the early universe. These include signals from “Phase Transitions and Topological Defects,” which are ubiquitously given rise to in well-motivated UV models. In-depth studies of such signals requires cross-talks between experts from a wide spectrum of fields. The workshop aims to provide a platform for efficient exchange of… |
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Speaker:Title: Advances in Mathematical PhysicsVenue: Harvard Science CenterA Conference in Honor of Elliott H. Lieb on his 90th Birthday On July 30 – Aug 1, 2022 the Harvard Mathematics Department and the CMSA co-hosted a birthday conference in honor of Elliott Lieb. This meeting highlights Elliott’s vast contribution to math and physics. Additionally, this meeting features Prof. Lieb’s more recent impact in strong subadditivity of entropy and integrable systems (ice model, Temperley-Lieb algebra etc.). Venue: July 30–31, 2022: Hall B, Science Center, 1 Oxford Street, Cambridge, MA, 02138 August 1, 2022: Hall C, Science Center, 1 Oxford Street, Cambridge, MA, 02138 Schedule (pdf) Organizers: Michael Aizenman, Princeton University Joel Lebowitz, Rutgers University Ruedi Seiler, Technische Universität Berlin Herbert Spohn, Technical University of Munich Horng-Tzer Yau,… |
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Speaker:Title: Joint BHICMSA Conference on Flat HolographyVenue: VirtualOn June 21–24, 2022, the Harvard Black Hole Initiative and the CMSA hosted the Joint BHI/CMSA Conference on Flat Holography (and related topics). The recent discovery of infinitely-many soft symmetries for all quantum theories of gravity in asymptotically flat space has provided a promising starting point for a bottom-up construction of a holographic dual for the real world. Recent developments have brought together previously disparate studies of soft theorems, asymptotic symmetries, twistor theory, asymptotically flat black holes and their microscopic duals, self-dual gravity, and celestial scattering amplitudes, and link directly to AdS/CFT. The conference was held in room G10 of the CMSA, 20 Garden Street, Cambridge, MA. Organizers: Daniel Kapec, CMSA Andrew Strominger, BHI Shing-Tung Yau, Harvard &… |
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Speaker:Title: Symposium on Foundations of Responsible Computing (FORC)Venue: CMSA Room G10On June 6-8, 2022, the CMSA hosted the 3rd annual Symposium on Foundations of Responsible Computing (FORC). The Symposium on Foundations of Responsible Computing (FORC) is a forum for mathematical research in computation and society writ large. The Symposium aims to catalyze the formation of a community supportive of the application of theoretical computer science, statistics, economics and other relevant analytical fields to problems of pressing and anticipated societal concern. Organizers: Cynthia Dwork, Harvard SEAS | Omer Reingold, Stanford | Elisa Celis, Yale Schedule DOWNLOAD PDF June 6, 2022 9:15 am–10:15 am Opening Remarks Keynote Speaker: Caroline Nobo, Yale University Title: From Theory to Impact: Why Better Data Systems are Necessary for Criminal Legal Reform Abstract: This talk will dive into… |
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Speaker:Title: Summer Introduction to Mathematical ResearchVenue: virtualThe Math Department and Harvard’s Center of Mathematical Sciences and Applications (CMSA) will be running a math program/course for mathematically minded undergraduates this summer. The course will be run by Dr. Yingying Wu from CMSA. Here is a description: Summer Introduction to Mathematical Research (sponsored by CMSA and the Harvard Math Department) In this course, we will start with an introduction to computer programming, algorithms, and scientific computing. Then we will discuss topics in topology, classical geometry, projective geometry, and differential geometry, and see how they can be applied to machine learning. We will go on to discuss fundamental concepts of deep learning, different deep neural network models, and mathematical interpretations of why deep neural networks are effective from a calculus… |
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Speaker:Title: SMaSH: Symposium for Mathematical Sciences at HarvardVenue: Science and Engineering Complex (SEC)SMaSH: Symposium for Mathematical Sciences at Harvard On Tuesday, May 17, 2022, from 9:00 am – 5:30 pm, the Harvard John A Paulson School of Engineering and Applied Sciences (SEAS) and the Harvard Center of Mathematical Sciences and Applications (CMSA) held a Symposium for Mathematical Sciences for the mathematical sciences community at Harvard. Organizing Committee Michael Brenner, Applied Mathematics (SEAS) Michael Desai, Organismic and Evolutionary Biology (FAS) Sam Gershman, Psychology (FAS) Michael Hopkins, Mathematics (FAS) Gary King, Government (FAS) Peter Koellner, Philosophy (FAS) Scott Kominers, Economics (FAS) & Entrepreneurial Management (HBS) Xihong Lin, Biostatistics (HSPH) & Statistics (FAS) Yue Lu, Electrical Engineering (SEAS) Susan Murphy, Statistics (FAS) & Computer Science (SEAS) Lisa Randall, Physics (SEAS) Eugene Shakhnovich, Chemistry… |
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Speaker:Title: Conference in Memory of Professor Masatake KuranishiVenue: Science and Engineering Complex (SEC)On May 9–12, 2022, the CMSA hosted the conference Deformations of structures and moduli in geometry and analysis: A Memorial in honor of Professor Masatake Kuranishi. Organizers: Tristan Collins (MIT) and Shing-Tung Yau (Harvard and Tsinghua) Videos are available on the conference playlist. Speakers: Charles Fefferman (Princeton University) Teng Fei (Rutgers University) Robert Friedman (Columbia University) Kenji Fukaya (Simons Center, Stony Brook) Akito Futaki (Tsinghua University) Victor Guillemin (Massachusetts Institute of Technology) Nigel Hitchin (Oxford University) Blaine Lawson (Stony Brook University) Yu-Shen Lin (Boston University) Melissa C.C. Liu (Columbia University) Takeo Ohsawa (Nagoya University) Duong H. Phong (Columbia University) Sebastien Picard (University of British Columbia) Paul Seidel (Massachusetts Institute of Technology) Gabor Szekelyhidi (University of Notre Dame) Claire Voisin… |