Campuses:

Talks

Date Title / Speaker Event
June 21, 2019 Smoke Ring Flow
Peter Schroeder (California Institute of Technology)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 21, 2019 Nonlinear mechanics of elastic structures: annuli
Gert van der Heijden (Imperial College London)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 21, 2019 Locally Private Bayesian Inference for Count Models
Steven Wu (University of Minnesota, Twin Cities)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 21, 2019 The Kakimizu complex of a knot
Jennifer Schultens (University of California, Davis)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 21, 2019 Gaps in Information Access in Social Networks
Suresh Venkatasubramanian (The University of Utah)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 21, 2019 (4) How to define energies and residues of manifolds (From analysis to geometry)
Jun O'Hara (Chiba University)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 21, 2019 How Robust are Reconstruction Thresholds for Community Detection?
Ankur Moitra (Massachusetts Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Industrial Panel Discussion on Robustness, Fairness and Privacy Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Locally private learning, estimation, inference and optimality
Feng Ruan (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Surfaces and more
Jennifer Schultens (University of California, Davis)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 20, 2019 Individual Sensitivity Preprocessing for Data Privacy
Rachel Cummings (Georgia Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Thomas Steinke (IBM Research Division)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Nonlinear mechanics of elastic structures: ribbons
Gert van der Heijden (Imperial College London)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 20, 2019 (3) Hadamard regularization and regularization via analytic continuation
Jun O'Hara (Chiba University)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 20, 2019 Towards Practical Notions of Individual Fairness
Aaron Roth (University of Pennsylvania)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Private Algorithms for High-Dimensional Gaussians
Jonathan Ullman (Northeastern University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Globally Optimal Direction Fields
Peter Schroeder (California Institute of Technology)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 19, 2019 The implicit fairness criterion of unconstrained learning
Moritz Hardt (University of California, Berkeley)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 The Measure and Mismeasure of Fairness
Sharad Goel (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 Fair PCA
Samira Samadi (Georgia Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 Molecular Biology Mysteries: Knotting and linking in Proteins
Kenneth Millett (University of California, Santa Barbara)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 19, 2019 A Complexity-Theoretic Perspective on Algorithmic Fairness
Omer Reingold (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 Fairness, Accountability, and Transparency: Adventures with predictive models in criminal justice
Kristian Lum (Human Rights Data Analysis Group (HRDAG))
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 The Structure of Optimal Private Tests for Simple Hypotheses
Audra McMillan (University of California, Berkeley)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Predictive inference with the jackknife+
Rina Barber (University of Chicago)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Classical knot invariants
Jennifer Schultens (University of California, Davis)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 18, 2019 Learning Models with Uniform Performance via Distributionally Robust Optimization
John Duchi (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 (2) Energy of knots and regularization of divergent integrals
Jun O'Hara (Chiba University)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 18, 2019 Mean estimation for entangled single-sample distributions
Po-Ling Loh (University of Wisconsin, Madison)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Molecular Biology Mysteries: Knotting and linking in DNA
Kenneth Millett (University of California, Santa Barbara)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 18, 2019 Discrete Exterior Calculus
Peter Schroeder (California Institute of Technology)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 18, 2019 Robust Subspace Recovery with Adversarial Outliers
Tyler Maunu (Massachusetts Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Algorithmic Questions in High-Dimensional Robust Statistics
Ilias Diakonikolas (University of Southern California)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Nonlinear mechanics of elastic structures: sheets
Gert van der Heijden (Imperial College London)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 17, 2019 (1) Energies and residues of manifolds and configuration saces of polygons
Jun O'Hara (Chiba University)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 17, 2019 What is Discrete Differential Geometry?
Peter Schroeder (California Institute of Technology)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 17, 2019 Nonlinear mechanics of elastic structures: rods
Gert van der Heijden (Imperial College London)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 17, 2019 Not knot
Jennifer Schultens (University of California, Davis)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 07, 2019 Student Activity: Finding your Focus in Graduate School
Roy Araiza (Purdue University), Ty Frazier (University of Minnesota, Twin Cities), Richard McGehee (University of Minnesota, Twin Cities), Adrienne Sands (University of Minnesota, Twin Cities)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Mentor Activity: Creating an Action Plan
Joe Omojola (Southern University at New Orleans), William Vélez (University of Arizona)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Panel Discussion: Emerging Opportunities for Applied Statistics and Quantitative Finance PhDs Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Make great money, change the world (for the better): PhD options in Management and Economics
David Hummels (Purdue University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Student Activity: Hands-on Statistics / Machine-Learning Tutorial

Alicia Johnson (Macalester College)

Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Mentor Activity: Bringing Industrial Applications to the Mathematics Classroom
Galin Jones (University of Minnesota, Twin Cities)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Lecture
Vera Andreeva (University of Minnesota, Twin Cities)
Hydrodynamic Models for Transport in 2D Materials
June 07, 2019 On some examples of statistical applications
Javier Rojo (Oregon State University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Panel Discussion: Emerging Opportunities for Applied Mathematics and Data Science PhDs Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Student Activity: I know you are, but what am I?
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Mentor Activity: Attracting and Mentoring Students in A Multicultural Context
Helena Noronha (California State University Northridge), Joe Omojola (Southern University at New Orleans)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 The Quite Reasonable Effectiveness of Mathematical Sciences
Juan Meza (National Science Foundation)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 A spectral decomposition approach for the conductivity response of a 2D electron fluid
Matthias Maier (Texas A & M University)
Hydrodynamic Models for Transport in 2D Materials
June 06, 2019 Student Activity: Support Your vocals like Destiny's Child supported Beyonce
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Electron hydrodynamics in Dirac Systems
Joerg Schmalian (Karlsruhe Institute of Technology)
Hydrodynamic Models for Transport in 2D Materials
June 06, 2019 Data Science: What is it? Why is everyone talking about it? Should you be doing it? (You probably are already)
Rebecca Nugent (Carnegie Mellon University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Introduction and Overview
William Vélez (University of Arizona)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Welcome Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 05, 2019 Topological invariants for interface modes
Guillaume Bal (University of Chicago)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Probing Hydrodynamic Materials from First Principles
Jennifer Coulter (Harvard University)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Thermal and electrical signatures of a hydrodynamic electron fluid in WP2
Fabian Menges (University of Colorado)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Acoustic plasmons at the crossover between the collisionless and hydrodynamic regimes in two-dimensional electron liquids
Marco Polini (Istituto Italiano di Tecnologia)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Hydrodynamic magnetoplasmon resonance and Hall viscosity in resistance of correlated electron-double-layer liquids
Alex Levchenko (University of Wisconsin, Madison)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Electron Hydrodynamics in Graphene: Introduction and Status
Denis Bandurin (Massachusetts Institute of Technology)
Hydrodynamic Models for Transport in 2D Materials
June 03, 2019 Electron hydrodynamics with a polygon Fermi surface
Andrew Lucas (Stanford University)
Hydrodynamic Models for Transport in 2D Materials
June 03, 2019 Electron transport on the hexagonal Fermi surface of PdCoO2
Maja Bachmann (Max-Planck-Gesellschaft)
Hydrodynamic Models for Transport in 2D Materials
June 03, 2019 Electron hydrodynamics and Hall viscosity Keywords of presentations: Hydrodynamics, Hall viscosity
Thomas Scaffidi (University of California, Berkeley)
Hydrodynamic Models for Transport in 2D Materials
May 06, 2019 Robust Accelerated Gradient Methods
Mert Gurbuzbalaban (Rutgers, The State University Of New Jersey)
Data Science Seminar
May 03, 2019 Startup vs. BigCo: Industry Experiences Compared
Ben Peirce (Samsung Research America)
Industrial Problems Seminar
May 03, 2019 Some Mathematics of the Fluorescence Ultrasound Modulated Optical Tomography
Yang Yang (Michigan State University)
Mathematics in Optical Imaging
May 03, 2019 A stability estimate for the inverse electroseismic problem
Eric Bonnetier (Université Grenoble-Alpes)
Mathematics in Optical Imaging
May 02, 2019 Photoacoustic tomography in attenuating acoustic media
Benjamin Palacios (University of Chicago)
Mathematics in Optical Imaging
May 02, 2019 Quantitative analysis of metal artifacts in X-ray tomography
Yiran Wang (Stanford University)
Mathematics in Optical Imaging
May 02, 2019 Stability for quantitative Photoacoustic tomography revisited
Faouzi Triki (Université Grenoble-Alpes)
Mathematics in Optical Imaging
May 02, 2019 Reduced Order Models for Spectral Domain Inversion: Galerkin Equivalence and Generation of Internal Data
Shari Moskow (Drexel University)
Mathematics in Optical Imaging
May 02, 2019 Recovering Space Inhomogeneities by Means of Boltzmann Poison Systems
Irene Gamba (The University of Texas at Austin)
Mathematics in Optical Imaging
May 01, 2019 Development of sparse grid DG methods for high dimensional PDEs
Yingda Cheng (Michigan State University)
Mathematics in Optical Imaging
May 01, 2019 Modulated Luminescence Tomography
Plamen Stefanov (Purdue University)
Mathematics in Optical Imaging
May 01, 2019 Lecture
Francois Monard (University of California, Santa Cruz)
Mathematics in Optical Imaging
May 01, 2019 Stationary inverse problems for transport

Francois Monard (University of California, Santa Cruz)

Mathematics in Optical Imaging
May 01, 2019 Optical Imaging via Inverse Scattering

Gang Bao (Zhejiang University)

Mathematics in Optical Imaging
April 30, 2019 Nonlinear Microscopy for Imaging Deep in Scattering Tissue
Chris Xu (Cornell University)
Mathematics in Optical Imaging
April 30, 2019 Multi-photon imaging resolves border disputes in the brain
Prakash Kara (University of Minnesota, Twin Cities)
Mathematics in Optical Imaging
April 30, 2019 Nonlinear Imaging to Elucidate the Physical and Molecular Mechanisms Regulating Carcinoma Progression
Paolo Provenzano (University of Minnesota, Twin Cities)
Mathematics in Optical Imaging
April 30, 2019 Lecture: A General Theory of X-ray Grating Interferometer with Arbitrary Grating Combinations
Guang-Hong Chen (University of Wisconsin Medical School)
Mathematics in Optical Imaging
April 30, 2019 Photoacoustic Computed Tomography in Heterogeneous Acoustic Media: Status and Open Challenges
Mark Anastasio (University of Illinois at Urbana-Champaign)
Mathematics in Optical Imaging
April 29, 2019 Inverse Problem for Kinetic Equations
Weiran Sun (Simon Fraser University)
Mathematics in Optical Imaging
April 29, 2019 Multifrequency acousto-optic tomography
Francis Chung (University of Kentucky)
Mathematics in Optical Imaging
April 29, 2019 Solving Multiscale Problems with Subsampled Data by Integrating PDE Analysis with Data Science
Thomas Hou (California Institute of Technology)
Data Science Seminar
April 29, 2019 Uncertainty Characterization in Model-Based Inverse and Imaging Problems
Kui Ren (Columbia University)
Mathematics in Optical Imaging
April 29, 2019 Superresolution and Inverse Problems with Internal Sources
John Schotland (University of Michigan)
Mathematics in Optical Imaging
April 29, 2019 Accelerating 4D PhotoAcoustic Tomography
Simon Arridge (University College London)
Mathematics in Optical Imaging
April 22, 2019 How Hard is it to Fool a Neural Net? A Mathematical Look at Adversarial Examples
Tom Goldstein (University of Maryland)
Data Science Seminar
April 15, 2019 Recent Advances in Wasserstein Distributionally Robust Optimization
Rui Gao (The University of Texas at Austin)
Data Science Seminar
April 12, 2019 Stating the Obvious - Job Search to Analytics Leadership
Sandhya Surapanenii (Stratasys)
Industrial Problems Seminar
April 08, 2019 A Brief Overview of Quantum Computing
Vlad Pribiag (University of Minnesota, Twin Cities)
Data Science Seminar
April 01, 2019 How to Deal with Big Data? Understanding Large-scale Distributed Regression
Edgar Dobriban (Wharton School of the University of Pennsylvania)
Data Science Seminar
March 29, 2019 So, How Do You Get a Job?
Chang Lee (Lowe's)
Industrial Problems Seminar
March 25, 2019 Recommendation Systems in Real Life
Mark Hsiao (Netflix, Inc)
Data Science Seminar
March 15, 2019 Infectious Disease Modeling in Public Health
Karyn Sutton (The Institute for Disease Modeling)
Industrial Problems Seminar
March 11, 2019 Robust and Phaseless PCA (and Subspace Tracking)
Namrata Vaswani (Iowa State University)
Data Science Seminar
March 08, 2019 Internship/Job Searching 101: Answering Your Most Asked Beginner Questions
Whitney Moore (University of Minnesota, Twin Cities)
Industrial Problems Seminar

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