Campuses:

Talks

Date Title / Speaker Event
April 29, 2022 Lecture
Myungjin Lee (Cisco)
Industrial Problems Seminar
April 22, 2022 Lecture
Nicholas Johnson (3M)
Industrial Problems Seminar
April 15, 2022 Lecture
Nazmul Islam (UnitedHealth Group)
Industrial Problems Seminar
March 29, 2022 Lecture
Larry Goldstein (University of Southern California)
Data Science Seminar
March 15, 2022 Lecture
Daniel Sanz-Alonso (University of Chicago)
Data Science Seminar
February 22, 2022 Lecture
Sandra Safo (University of Minnesota, Twin Cities)
Data Science Seminar
February 18, 2022 Lecture
Eric Eager (ProFootballFocus (PFF))
Industrial Problems Seminar
February 11, 2022 Lecture
Hande Tuzel (Sabre Systems, Inc.)
Industrial Problems Seminar
February 08, 2022 Lecture
Joe Kileel (The University of Texas at Austin)
Data Science Seminar
February 04, 2022 Lecture
Carrie Manore (Los Alamos National Laboratory)
Industrial Problems Seminar
January 28, 2022 Lecture
Paritosh Desai (Google Inc.)
Industrial Problems Seminar
January 25, 2022 Lecture
Alex Gittens (RPI)
Data Science Seminar
January 21, 2022 Lecture
Zeinab Takbiri (Facebook)
Industrial Problems Seminar
December 10, 2021 Lecture
Tetiana Grinberg (Intel Corporation)
Industrial Problems Seminar
December 07, 2021 Lecture
Danny Abrams (Northwestern University)
Data Science Seminar
December 03, 2021 Lecture
Hamit Hamutcu (Initiative for Analytics and Data Science Standards (IADSS))
Industrial Problems Seminar
November 23, 2021 Lecture
Michael Perlmutter (University of California, Los Angeles)
Data Science Seminar
November 19, 2021 Lecture
Fatemeh Sheikholeslami (Bosch Center for Artificial Intelligence (BCAI))
Industrial Problems Seminar
November 16, 2021 Lecture
Eran Halperin (UnitedHealth Group)
Data Science Seminar
November 12, 2021 Lessons Learned in Deploying AI in Manufacturing

Eric Wespi (Boston Scientific)

Industrial Problems Seminar
November 09, 2021 Non-Parametric Estimation of Manifolds from Noisy Data

Yariv Aizenbud (Yale University)

Data Science Seminar
November 05, 2021 Lecture
Jeffrey Moulton (Instacart)
Industrial Problems Seminar
October 29, 2021 Challenges in Building Intelligent Search Systems

Jiguang Shen (Microsoft Research)

Industrial Problems Seminar
October 22, 2021 Predicting Tomorrow: Industrial Forecasting at Scale

Jimmy Broomfield (Target Corporation)

Industrial Problems Seminar
October 19, 2021 Data depths meet Hamilton-Jacobi equations

Ryan Murray (North Carolina State University)

Data Science Seminar
October 15, 2021 Data Scientists under attack!! Let's help them together

Sharath Dhamodaran (OptumLabs)

Industrial Problems Seminar
October 12, 2021 Organizational Collaboration with Assisted Learning

Jie Ding (University of Minnesota, Twin Cities)

Data Science Seminar
October 08, 2021 Research and Opportunities in the Mathematical Sciences at Oak Ridge National Laboratory

Juan Restrepo (Oregon State University)

Industrial Problems Seminar
October 05, 2021 Scalable and Sample-Efficient Active Learning for Graph-Based Classification

Kevin Miller (University of California, Los Angeles)

Data Science Seminar
October 01, 2021 Long-term Time Series Forecasting and Data Generated by Complex Systems
Kaisa Taipale (CH Robinson)
Industrial Problems Seminar
September 28, 2021 Standardizing the Spectra of Count Data Matrices by Diagonal Scaling

Boris Landa (Yale University)

Data Science Seminar
September 21, 2021 Handling model uncertainties via informative Goodness-of-Fit

Sara Algeri (University of Minnesota, Twin Cities)

Data Science Seminar
September 17, 2021 SIAM Internship Panel
Montie Avery (University of Minnesota, Twin Cities)
Industrial Problems Seminar
September 14, 2021 PDE-inspired Methods for Graph-based Semi-supervised Learning
Jeff Calder (University of Minnesota, Twin Cities)
Data Science Seminar
September 10, 2021 Being Smart and Dumb: Building the Sports Analytics Industry

Dean Oliver ( NBA's Washington Wizards)

Industrial Problems Seminar
May 18, 2021 Measuring the Happiness, Health, & Stories of Society through the Sociotechnical Dynamics of Social Media and Fiction
Chris Danforth (University of Vermont)
Data Science Seminar
May 04, 2021 Order in Disorder: Modeling the Crumpling Dynamics of Thin Sheets
Jovana Andrejevic (Harvard University)
Data Science Seminar
April 27, 2021 Polynomial Time Guarantees for the Burer-Monteiro Method
Diego Cifuentes (Massachusetts Institute of Technology)
Data Science Seminar
April 23, 2021 Finding Effective Spreaders for Fast Communication in Small and Large Networks
Fern Hunt (National Institute of Standards and Technology)
Industrial Problems Seminar
April 20, 2021 Machine Learning Techniques for High-Dimensional Optimal Transport
Lars Ruthotto (Emory University)
Data Science Seminar
April 13, 2021 Quantile-based Iterative Methods for Corrupted Systems of Linear Equations
Elizaveta Rebrova (University of California, Los Angeles)
Data Science Seminar
April 06, 2021 The Ramanujan Machine: Using Algorithms for the Discovery of Conjectures on Mathematical Constants
Ido Kaminer (Technion-Israel Institute of Technology)
Data Science Seminar
March 30, 2021 Deep Networks and the Multiple Manifold Problem
John Wright (Columbia University)
Data Science Seminar
March 26, 2021 Law - Math = Injustice: A Story of Conflict
Eric Ben-Artzi (Gannuity)
Industrial Problems Seminar
March 23, 2021 Adapting the Metropolis Algorithm
Jeffrey Rosenthal (University of Toronto)
Data Science Seminar
March 19, 2021 The Engineering of Data Science & The Science of Data Engineering
Daniel Kaslovsky (Automox)
Industrial Problems Seminar
March 16, 2021 Consistent Sparse Deep Learning: Theory and Computation
Faming Liang (Purdue University)
Data Science Seminar
March 02, 2021 Coordinate Methods for Solving Eigenvalue Problems in High Dimensions
Jianfeng Lu (Duke University)
Data Science Seminar
February 26, 2021 Data Science at The New York Times
Chris Wiggins (Columbia University)
Industrial Problems Seminar
February 23, 2021 Ultrametric Gromov-Hausdorff and Gromov-Wasserstein Distances
Facundo Mémoli (The Ohio State University)
Data Science Seminar
February 19, 2021 Cyber Security: A New Front for Computational Science and Engineering
Ali Pinar (Sandia National Laboratories)
Industrial Problems Seminar
February 16, 2021 Learning the Manifold of Molecular Structures in Cryo-EM
Joakim Anden (Royal Institute of Technology (KTH))
Data Science Seminar
February 12, 2021 Discovering Genetic Networks Using Compressive Sensing
Matthew Herman (Fourier Genetics)
Industrial Problems Seminar
February 09, 2021 Coding and Generative Design for 3D Printing
Laura Taalman (James Madison University)
Public Lecture Series
February 09, 2021 Using Telco Data to Fight Epidemics
Kenth Monsen (Telenor Research)
Data Science Seminar
February 05, 2021 Manufacturing Pitfalls to Avoid in Commercialization
Angelique Johnson (MEMStim LLC)
Industrial Problems Seminar
February 02, 2021 Regression of Functions on Low-dimensional Manifolds by Neural Networks
Wenjing Liao (Georgia Institute of Technology)
Data Science Seminar
January 29, 2021 Contemporary Problems in Market Risk Modeling
Hany Farag (Canadian Imperial Bank of Commerce (CIBC))
Industrial Problems Seminar
January 26, 2021 An Optimal Transport Perspective on Uncertainty Propagation
Amir Sagiv (Columbia University)
Data Science Seminar
January 22, 2021 The Rise of the Vector Database
Edo Liberty (Pinecone)
Industrial Problems Seminar
January 19, 2021 Quantum Compiler for Classical Dynamical Systems
Dimitris Giannakis (Courant Institute of Mathematical Sciences)
Data Science Seminar
January 12, 2021 What We Talk About When We Talk About Math
Lillian Pierce (Duke University)
Public Lecture Series
December 15, 2020 Estimation of Manifolds from Point Clouds: Building Models from Data
Barak Sober (Duke University)
Data Science Seminar
December 11, 2020 COVID Modeling: Testing Scenarios and Geographical Networks
Natalie Sheils (UnitedHealth Group)
Industrial Problems Seminar
December 08, 2020 Understanding Convolutional Neural Networks Through Signal Processing
Matthew Hirn (Michigan State University)
Data Science Seminar
December 04, 2020 Digital Health Technology for Heart Failure Diagnostic Monitoring
Julie Thompson (Boston Scientific)
Industrial Problems Seminar
December 01, 2020 Filter-decomposed Convolution in Deep Neural Networks: On Groups, Graphs, and Across Domains
Xiuyuan Cheng (Duke University)
Data Science Seminar
November 24, 2020 Multiway Tensor Analysis with Neuroscience Applications
Gal Mishne (University of California, San Diego)
Data Science Seminar
November 17, 2020 Fast Statistical and Geometric Distances Between Families of Distributions
Alexander Cloninger (University of California, San Diego)
Data Science Seminar
November 13, 2020 The Evolution of Basketball with Data Science
Ivana Seric (Philadelphia 76ers)
Industrial Problems Seminar
November 13, 2020 Gradient Flows in the Wasserstein Metric: From Discrete to Continuum via Regularization
Katy Craig (University of California, Santa Barbara)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Information in Mean Field Control
Aaron Palmer (University of British Columbia)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Prediction with Expert Advice: A PDE Perspective on a Model Problem from Online Machine Learning
Robert Kohn (New York University)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Stochastic Methods for Optimal Transport in Machine Learning Applications
Aude Genevay (Massachusetts Institute of Technology)
Optimal Control, Optimal Transport, and Data Science
November 12, 2020 Wasserstein Control of Mirror Langevin Monte Carlo
Kelvin Shuangjian Zhang (École Normale Supérieure)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 A Fast Approach to Optimal Transport: The Back-and-forth Method
Matthew Jacobs (University of California, Los Angeles)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 Active Learning and Optimal Experimental Design
Eldad Haber (University of British Columbia)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 Optimal Control of Fluid Transport Networks
Anatoly Zlotnik (Los Alamos National Laboratory)
Optimal Control, Optimal Transport, and Data Science
November 11, 2020 Streaming Computation of Optimal Weak Transport Barycenters
Elsa Cazelles (Institut de Recherche en Informatique de Toulouse)
Optimal Control, Optimal Transport, and Data Science
November 10, 2020 A PDE Interpretation of Prediction with Expert Advice
Nadejda Drenska (University of Minnesota, Twin Cities)
Optimal Control, Optimal Transport, and Data Science
November 10, 2020 Natural Graph Wavelet Packets
Naoki Saito (University of California, Davis)
Data Science Seminar
November 10, 2020 Mathematical Approaches to Deep Learning: Model Uncertainty, Robustness and Regularization
Adam Oberman (McGill University)
Optimal Control, Optimal Transport, and Data Science
November 10, 2020 On The Convergence of MMD GANs: A Theory via Parametric Kernelized Gradient Flows
Youssef Mroueh (IBM)
Optimal Control, Optimal Transport, and Data Science
November 10, 2020 Deep Learning and Optimal Control
Weinan E (Princeton University)
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 Summarizing and Analyzing Data using Optimal Transport
Justin Solomon (Massachusetts Institute of Technology)
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 Graphical Optimal Transport
Yongxin Chen (Georgia Institute of Technology)
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 Learned Adversarial Regularisers
Carola Schoenlieb (University of Cambridge (Cambridge, GB))
Optimal Control, Optimal Transport, and Data Science
November 09, 2020 The Quadratic Wasserstein Metric for Inverse Data Matching Problems
Yunan Yang (New York University)
Optimal Control, Optimal Transport, and Data Science
November 07, 2020 Concluding Remarks
David Goldberg (Purdue University), Phil Kutzko (The University of Iowa), Oscar Vega (California State University)
2020 Field of Dreams Conference
November 07, 2020 Plenary Conversation II
Donald Cole (University of Mississippi), David Goldberg (Purdue University), Fabrice Ulysse (University of Notre Dame), Oscar Vega (California State University)
2020 Field of Dreams Conference
November 07, 2020 Fields of Success - Stories from Math Alliance Alumni
Julia Anderson-Lee (The Boeing Company), Alexander Diaz-Lopez (Villanova University), April Harry (Rover.com), Anarina Murillo (Brown University), Roberto Soto (California State University), Oscar Vega (California State University)
2020 Field of Dreams Conference
November 07, 2020 Report of the Math Alliance Leadership
David Goldberg (Purdue University), Phil Kutzko (The University of Iowa), Kyndra Middleton (Howard University)
2020 Field of Dreams Conference
November 07, 2020 Panel 5: Preparing for Graduate School
Joe Omojola (Southern University at New Orleans), Vanessa Quiñonez (Sagrado Global), Isaac Wright (Pennsylvania State University)
2020 Field of Dreams Conference
November 07, 2020 Panel 4: Preparing for your First Professional Position (graduate students)
Ariel Leslie (Lockheed Martin), Leslie McClure (Drexel University), Reginald McGee (College of the Holy Cross)
2020 Field of Dreams Conference
November 07, 2020 Morning Remarks
Kyndra Middleton (Howard University)
2020 Field of Dreams Conference
November 06, 2020 Active Community Detection with Maximal Expected Model Change
Dan Kushnir (Nokia Bell Labs)
Industrial Problems Seminar
November 06, 2020 Plenary Conversation 1
Ranthony Edmonds (The Ohio State University), Phil Kutzko (The University of Iowa), Victoria Uribe (Arizona State University)
2020 Field of Dreams Conference
November 06, 2020 Guided Conversation 3: Mentoring Across the Continuum (faculty)
Edray Goins (Pomona College), William Vélez (University of Arizona)
2020 Field of Dreams Conference
November 06, 2020 Panel 3: Careers in Government and Industry
Edray Goins (Pomona College), Roosevelt Johnson (Math Alliance), Calandra Moore (Department of Defense), David Murillo (American Express), Venkat Sethuraman (Bristol-Myers Squibb), William Vélez (University of Arizona)
2020 Field of Dreams Conference
November 06, 2020 Panel 1: The Value of Undergraduate Research Experiences (undergraduate students)
Alexander Barrios (Carleton College), Melissa Gonzalez (Occidental College), Zsuzsanna Szaniszlo (Valparaiso University)
2020 Field of Dreams Conference

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