• Math Science Lectures in Honor of Raoul Bott: Michael Freedman

    Virtual

    On October 4th and October 5th, 2021, Harvard CMSA hosted the annual Math Science Lectures in Honor of Raoul Bott. This year’s speaker was Michael Freedman (Microsoft). The lectures took place on Zoom. […]

  • Angular momentum in general relativity

    Abstract: The definition of angular momentum in general relativity has been a subtle issue since the 1960′, due to the discovery of “supertranslation ambiguity”: the angular momentums recorded by two distant […]

  • Strings, knots and quivers

    Virtual

    Speaker: Piotr Sułkowski (University of Warsaw) Title: Strings, knots and quivers Abstract: I will discuss a recently discovered relation between quivers and knots, as well as – more generally – toric Calabi-Yau […]

  • New results in Supergravity via ML Technology

    https://youtu.be/zJOWdZZcitk Speaker: Thomas Fischbacher, Google Title: New results in Supergravity via ML Technology Abstract: The infrastructure built to power the Machine Learning revolution has many other uses beyond Deep Learning. […]

  • A tour of categorical symmetry

    Virtual

    Title: A tour of categorical symmetry Abstract: I will discuss some perspectives on symmetry coming from the study of topological defects in quantum field theory. I will argue that we […]

  • A mirror theorem for GLSMs

    Abstract: A gauged linear sigma model (GLSM) consists roughly of a complex vector space V, a group G acting on V, a character \theta of G, and a G-invariant function w […]

  • 10/7/2021 Interdisciplinary Science Seminar

    Title: SiRNA Targeting TCRb: A Proposed Therapy for the Treatment of Autoimmunity Abstract: As of 2018, the United States National Institutes of Health estimate that over half a billion people worldwide are […]

  • Causality Comparison and Postive Mass

    Speaker: Xiaoning Wu, Chinese Academy of Sciences Title: Causality Comparison and Postive Mass Abstract: Penrose et al. investigated the physical incoherence of the space-time with negative mass via the bending […]

  • Knowledge Graph Embeddings and Inference

    Member Seminar Speaker: Michael Douglas Title: Knowledge Graph Embeddings and Inference Abstract: A knowledge graph (KG) is a data structure which represents entities and relations as the vertices and edges of […]