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Diving Into Math with Emmy Noether
September 10, 2022      4:30 pm
Diving Into Math with Emmy Noether A theatre performance about the life of one of history’s most influential mathematicians. When: Saturday, September 10, 2022 Panel...
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  • CONFERENCE: Advances in Mathematical Physics: A Conference in Honor of Elliott H. Lieb on his 90th Birthday.
    All day
    August 1, 2022-August 1, 2022

    Advances in Mathematical Physics

    A Conference in Honor of Elliott H. Lieb on his 90th Birthday

    Dates: July 30-August 1, 2022

    Harvard University

    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

    Register Here

    Conference Schedule

    Download PDF for a detailed schedule of lectures and events.

    Saturday, July 30, Hall B

    Sunday, July 31, Hall B

    Monday, August 1, Hall C

    8:45 a.m. – 9 a.m.

    Refreshments

    8:45 a.m. – 9 a.m.

    Refreshments

    8:45 a.m. – 9 a.m.

    Refreshments

    9 a.m. – 9:45 a.m.

    Jan Philip Solovej

    9 a.m. – 10 a.m.

    Hugo Duminil-Copin

    9 a.m. – 9:45 a.m.

    Yoshiko Ogata

    9:45 a.m. – 10:30 a.m.

    László Erdös

    10 a.m. – 10:30 a.m.

    Tea Break

    9:45 a.m. – 10:30 a.m.

    Hal Tasaki

    10:30 a.m. – 11 a.m.

    Tea Break

    10:30 a.m. – 11:15 a.m.

    Jürg Fröhlich

    10:30 a.m. – 11 a.m.

    Tea Break

    11 a.m. – 11:45 a.m.

    Robert Seiringer

    11:15 a.m. – 12 p.m.

    Bertrand Halperin

    11 a.m. – 11:45 a.m.

    Bruno Nachtergaele

    11:45 a.m. – 12:30 p.m.

    Rupert Frank

    12:00 p.m. – 1:30 p.m.

    Lunch

    11:45 a.m. – 12:30 p.m.

    Alessandro Guiliani

    12:30 p.m. – 2 p.m.

    Lunch

    1:30 p.m. – 2:15 p.m.

    Jun Yin

    12:30 p.m. – 2 p.m.

    Lunch

    2 p.m. – 2:45 p.m.

    Simone Warzel

    2:15 p.m. – 3 p.m.

    Sabine Jansen

    2 p.m. – 2:45 p.m.

    Ron Peled

    2:45 p.m. – 3:30 p.m.

    Benjamin Schlein

    3 p.m. – 3:30 p.m.

    Tea Break

    2:45 p.m. – 3:30 p.m.

    Mathieu Lewin

    3:30 p.m. – 4 p.m.

    Tea Break

    3:30 p.m. – 4:30 p.m.

    A Review of Lieb’s Work

    3:30 p.m. – 4 p.m.

    Tea Break

    4 p.m. – 4:45 p.m.

    Rafael Benguria

    4 p.m. – 4:45 p.m.

    Eric Carlen

     

    Organizers:
    Michael Aizenman, Princeton University
    Joel Lebowitz, Rutgers University
    Ruedi Seiler, Technische Universität Berlin
    Herbert Spohn, Technical University of Munich
    Horng-Tzer Yau, Harvard University
    Shing-Tung Yau, Harvard University
    Jakob Yngvason, University of Vienna

    Speakers:
    Rafael Benguria, Pontificia Universidad Catolica de Chile
    Eric Carlen, Rutgers University
    Philippe Di Francesco, University of Illinois
    Hugo Duminil-Copin, IHES
    László Erdös, Institute of Science and Technology Austria
    Rupert Frank, The California Institute of Technology
    Jürg Fröhlich, ETH Zurich
    Alessandro Giuliani, Università degli Studi Roma Tre
    Bertrand Halperin, Harvard University
    Klaus Hepp, Institute for Theoretical Physics, ETH Zurich
    Sabine Jansen, Ludwig Maximilian University of Munich
    Mathieu Lewin, Université Paris-Dauphine
    Bruno Nachtergaele, The University of California, Davis
    Yoshiko Ogata, University of Tokyo
    Ron Peled, Tel Aviv University
    Benjamin Schlein, University of Zurich
    Robert Seiringer, Institute of Science and Technology Austria
    Jan Philip Solovej, University of Copenhagen
    Hal Tasaki, Gakushuin University
    Simone Warzel, Technical University of Munich
    Jun Yin, The University of California, Los Angeles

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  • CMSA EVENT: CMSA Interdisciplinary Science Seminar: Exploring and Exploiting the Universality Phenomena in High-Dimensional Estimation and Learning
    9:00 AM-10:00 AM
    August 11, 2022
    1 Oxford Street, Cambridge, MA 02138 USA

    Universality is a fascinating high-dimensional phenomenon. It points to the existence of universal laws that govern the macroscopic behavior of wide classes of large and complex systems, despite their differences in microscopic details. The notion of universality originated in statistical mechanics, especially in the study of phase transitions. Similar phenomena have been observed in probability theory, dynamical systems, random matrix theory, and number theory.
    In this talk, I will present some recent progresses in rigorously understanding and exploiting the universality phenomena in the context of statistical estimation and learning on high-dimensional data. Examples include spectral methods for high-dimensional projection pursuit, statistical learning based on kernel and random feature models, and approximate message passing algorithms on highly structured, strongly correlated, and even (nearly) deterministic data matrices. Together, they demonstrate the robustness and wide applicability of the universality phenomena.

     

    For more information on how to join, please see: https://cmsa.fas.harvard.edu/interdisciplinary-science-seminar/


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  • SEMINARS
    10:00 AM-11:30 AM
    August 16, 2022

    A Fermi surface coupled to a scalar field can be described in a 1/N expansion by choosing the fermion-scalar Yukawa coupling to be random in the N-dimensional flavor space, but invariant under translations. We compute the conductivity of such a theory in two spatial dimensions for a critical scalar. We find a Drude contribution, and show that a previously proposed  mega^{-2/3} contribution to the optical conductivity at frequency mega has vanishing co-efficient. We also describe the influence of impurity scattering of the fermions, and find that while the self energy resembles a marginal Fermi liquid, the resistivity behaves like a Fermi liquid.  Arxiv references: 2203.04990, 2207.08841


    For more information on how to join, please see: https://cmsa.fas.harvard.edu/quantum-matter-seminar/

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  • CMSA EVENT: CMSA Big Data Conference 2022
    9:00 AM-2:00 PM
    August 26, 2022

    On August 26, 2022 the CMSA will host our eighth annual Conference on Big Data. The Conference will feature 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 2022 Big Data Conference will take place virtually on Zoom.

    You must register to attend. Register Here

    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:

    Schedule

    9:00 am Conference Organizers Introduction and Welcome
    9:10 am – 9:55 amXiaohong Chen
    10:00 am – 10:45 amJessica Jeffers
    10:50 am – 11:35 am Tymo Mylovanov
    11:40 am – 12:25 pm Dan Roberts
    12:30 pm – 1:15 pm Miles Cranmer
    1:15 pmConference Organizers Closing Remarks

     


    For more information, please see: https://cmsa.fas.harvard.edu/big-data-2022/

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