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DTSTART;TZID=America/New_York:20220407T152200
DTEND;TZID=America/New_York:20220407T172200
DTSTAMP:20240301T103440Z
CREATED:20240214T113556Z
LAST-MODIFIED:20240301T103440Z
UID:10002702-1649344920-1649352120@cmsa.fas.harvard.edu
SUMMARY:The space of vector bundles on spheres: algebra\, geometry\, topology
DESCRIPTION:Abstract: Bott periodicity relates vector bundles on a topological space X to vector bundles on X “times a sphere”.   I’m not a topologist\, so I will try to explain an algebraic or geometric incarnation\, in terms of vector bundles on the Riemann sphere.   I will attempt to make the talk introductory\, and (for the most part) accessible to those in all fields\, at the expense of speaking informally and not getting far.   This relates to recent work of Hannah Larson\, as well as joint work with (separately) Larson and Jim Bryan.
URL:https://cmsa.fas.harvard.edu/event/4-7-2022-interdisciplinary-science-seminar/
CATEGORIES:Interdisciplinary Science Seminar
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/CMSA-Interdisciplinary-Science-Seminar-04.07.2022-1583x2048-1.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220414T090000
DTEND;TZID=America/New_York:20220414T100000
DTSTAMP:20240301T103314Z
CREATED:20240214T113429Z
LAST-MODIFIED:20240301T103314Z
UID:10002701-1649926800-1649930400@cmsa.fas.harvard.edu
SUMMARY:SIMPLEs: a single-cell RNA sequencing imputation strategy preserving gene modules and cell clusters variation
DESCRIPTION:Abstract: A main challenge in analyzing single-cell RNA sequencing (scRNA-seq) data is to reduce technical variations yet retain cell heterogeneity. Due to low mRNAs content per cell and molecule losses during the experiment (called ‘dropout’)\, the gene expression matrix has a substantial amount of zero read counts. Existing imputation methods treat either each cell or each gene as independently and identically distributed\, which oversimplifies the gene correlation and cell type structure. We propose a statistical model-based approach\, called SIMPLEs (SIngle-cell RNA-seq iMPutation and celL clustErings)\, which iteratively identifies correlated gene modules and cell clusters and imputes dropouts customized for individual gene module and cell type. Simultaneously\, it quantifies the uncertainty of imputation and cell clustering via multiple imputations. In simulations\, SIMPLEs performed significantly better than prevailing scRNA-seq imputation methods according to various metrics. By applying SIMPLEs to several real datasets\, we discovered gene modules that can further classify subtypes of cells. Our imputations successfully recovered the expression trends of marker genes in stem cell differentiation and can discover putative pathways regulating biological processes.
URL:https://cmsa.fas.harvard.edu/event/4-14-2022-interdisciplinary-science-seminar/
CATEGORIES:Interdisciplinary Science Seminar
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/CMSA-Interdisciplinary-Science-Seminar-04.14.22-1583x2048-1.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220421T090000
DTEND;TZID=America/New_York:20220421T100000
DTSTAMP:20240301T103156Z
CREATED:20240214T113250Z
LAST-MODIFIED:20240301T103156Z
UID:10002700-1650531600-1650535200@cmsa.fas.harvard.edu
SUMMARY:Secure Multi-Party Computation: from Theory to Practice
DESCRIPTION:Abstract:\nEncryption is the backbone of cybersecurity. While encryption can secure data both in transit and at rest\, in the new era of ubiquitous computing\, modern cryptography also aims to protect data during computation. Secure multi-party computation (MPC) is a powerful technology to tackle this problem\, which enables distrustful parties to jointly perform computation over their private data without revealing their data to each other. Although it is theoretically feasible and provably secure\, the adoption of MPC in real industry is still very much limited as of today\, the biggest obstacle of which boils down to its efficiency. \nMy research goal is to bridge the gap between the theoretical feasibility and practical efficiency of MPC. Towards this goal\, my research spans both theoretical and applied cryptography. In theory\, I develop new techniques for achieving general MPC with the optimal complexity\, bringing theory closer to practice. In practice\, I design tailored MPC to achieve the best concrete efficiency for specific real-world applications. In this talk\, I will discuss the challenges in both directions and how to overcome these challenges using cryptographic approaches. I will also show strong connections between theory and practice. \nBiography:\nPeihan Miao is an assistant professor of computer science at the University of Illinois Chicago (UIC). Before coming to UIC\, she received her Ph.D. from the University of California\, Berkeley in 2019 and had brief stints at Google\, Facebook\, Microsoft Research\, and Visa Research. Her research interests lie broadly in cryptography\, theory\, and security\, with a focus on secure multi-party computation — especially in incorporating her industry experiences into academic research.
URL:https://cmsa.fas.harvard.edu/event/4-21-2022-interdisciplinary-science-seminar/
CATEGORIES:Interdisciplinary Science Seminar
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/CMSA-Interdisciplinary-Science-Seminar-04.21.22-1583x2048-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220428T153300
DTEND;TZID=America/New_York:20220428T173300
DTSTAMP:20240301T103000Z
CREATED:20240214T112923Z
LAST-MODIFIED:20240301T103000Z
UID:10002698-1651159980-1651167180@cmsa.fas.harvard.edu
SUMMARY:Intersection number and systole on hyperbolic surfaces
DESCRIPTION:Abstract: Let X be a compact hyperbolic surface. We can see that there is a constant C(X) such that the intersection number of the closed geodesics is  \leq C(X) times the product of their lengths. Consider the optimum constant C(X). In this talk\, we describe its asymptotic behavior in terms of systole\,  length of the shortest closed geodesic on X.
URL:https://cmsa.fas.harvard.edu/event/4-28-2022-interdisciplinary-science-seminar/
CATEGORIES:Interdisciplinary Science Seminar
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/CMSA-Interdisciplinary-Science-Seminar-04.28.22-1583x2048-1.jpg
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