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 
Nonlinear mechanics of elastic structures: ribbons Gert van der Heijden (Imperial College London) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional Topology, Geometry, and Applications 
June 20, 2019 
AverageCase 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 
(3) Hadamard regularization and regularization via analytic continuation Jun O'Hara (Chiba University) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional 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 HighDimensional 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 Lowdimensional 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 
A ComplexityTheoretic Perspective on Algorithmic Fairness Omer Reingold (Stanford University) 
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 Lowdimensional Topology, Geometry, and Applications 
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 Lowdimensional 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 Lowdimensional Topology, Geometry, and Applications 
June 18, 2019 
Mean estimation for entangled singlesample distributions PoLing 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 Lowdimensional 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 Lowdimensional 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 HighDimensional 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 Lowdimensional 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 Lowdimensional 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 Lowdimensional 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 Lowdimensional Topology, Geometry, and Applications 
June 17, 2019 
Not knot Jennifer Schultens (University of California, Davis) 
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Lowdimensional 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: Handson Statistics / MachineLearning 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 
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 
Electron hydrodynamics in Dirac Systems Joerg Schmalian (Karlsruhe Institute of Technology) 
Hydrodynamic Models for Transport in 2D Materials 
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 twodimensional 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 electrondoublelayer 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 (MaxPlanckGesellschaft) 
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 GrenobleAlpes) 
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 Xray tomography Yiran Wang (Stanford University) 
Mathematics in Optical Imaging 
May 02, 2019 
Stability for quantitative Photoacoustic tomography revisited Faouzi Triki (Université GrenobleAlpes) 
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 
Multiphoton 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 Xray Grating Interferometer with Arbitrary Grating Combinations GuangHong 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 UrbanaChampaign) 
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 acoustooptic 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 ModelBased 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 Largescale 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 
March 04, 2019 
Peculiar Properties of Locally Linear Embedding  Toward Theoretical Understanding of Unsupervised Learning Hautieng Wu (Duke University) 
Data Science Seminar 
March 01, 2019 
Solar + Storage – Opportunities and Innovations Sohan Das (EVS, Inc.) 
Industrial Problems Seminar 
February 25, 2019 
Strong Coresets for kMedian and Subspace Approximation: Goodbye Dimension David Woodruff (Carnegie Mellon University) 
Data Science Seminar 
February 22, 2019 
Industrial Problems in Digital Retail Samantha Schumacher (Target Corporation) 
Industrial Problems Seminar 
February 18, 2019 
Graph Convolutional Neural Network via Scattering Dongmian Zou (University of Minnesota, Twin Cities) 
Data Science Seminar 
February 11, 2019 
Style Transfer by Relaxed Optimal Transport and SelfSimilarity Greg Shakhnarovich (Toyota Technological Institute at Chicago) 
Data Science Seminar 
February 08, 2019 
Using Wearable Sensors to Predict Pain States Kyle Srivastava (Boston Scientific) 
Industrial Problems Seminar 
February 04, 2019 
GromovMonge Quasi Metrics and Distance Distributions Tom Needham (The Ohio State University) 
Data Science Seminar 
January 28, 2019 
DataDriven Distributionally Robust Appointment Scheduling Guanglin Xu (University of Minnesota, Twin Cities) 
Data Science Seminar 
January 25, 2019 
Probabilistic Analysis of Operational Transit Data to Create Insights for Planners Eric Lind (Metro Transit) 
Industrial Problems Seminar 