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April 29, 2022 |
Lecture
Myungjin Lee (Cisco) |
Industrial Problems Seminar |
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April 22, 2022 |
Lecture
Nicholas Johnson (3M) |
Industrial Problems Seminar |
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April 15, 2022 |
Lecture
Nazmul Islam (UnitedHealth Group) |
Industrial Problems Seminar |
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March 29, 2022 |
Lecture
Larry Goldstein (University of Southern California) |
Data Science Seminar |
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March 15, 2022 |
Lecture
Daniel Sanz-Alonso (University of Chicago) |
Data Science Seminar |
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March 01, 2022 |
Lecture
Nicolas Garcia Trillos (University of Wisconsin, Madison) |
Data Science Seminar |
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February 25, 2022 |
Lecture
Zeinab Takbiri (Facebook) |
Industrial Problems Seminar |
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February 22, 2022 |
Lecture
Sandra Safo (University of Minnesota, Twin Cities) |
Data Science Seminar |
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February 18, 2022 |
Lecture
Eric Eager (ProFootballFocus (PFF)) |
Industrial Problems Seminar |
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February 11, 2022 |
Lecture
Hande Tuzel (Sabre Systems, Inc.) |
Industrial Problems Seminar |
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February 08, 2022 |
Lecture
Joe Kileel (The University of Texas at Austin) |
Data Science Seminar |
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February 04, 2022 |
Lecture
Carrie Manore (Los Alamos National Laboratory) |
Industrial Problems Seminar |
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February 01, 2022 |
Lecture
Ron Levie (Ludwig-Maximilians-Universität München) |
Data Science Seminar |
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January 28, 2022 |
Lecture
Paritosh Desai (Google Inc.) |
Industrial Problems Seminar |
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January 25, 2022 |
Lecture
Alex Gittens (RPI) |
Data Science Seminar |
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December 14, 2021 |
New Methods for Disease Prediction using Imaging and Genomics
Eran Halperin (UnitedHealth Group)
|
Data Science Seminar |
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December 10, 2021 |
From Perception to Understanding: The Third Wave of AI
Tetiana Grinberg (Intel Corporation)
|
Industrial Problems Seminar |
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December 03, 2021 |
Licensed to Analyze? An In-Depth Look at the Data Science Career: Defining Roles, Assessing Skills
Hamit Hamutcu (Initiative for Analytics and Data Science Standards (IADSS)) |
Industrial Problems Seminar |
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November 23, 2021 |
The Scattering Transform for Texture Synthesis and Molecular Generation
Michael Perlmutter (University of California, Los Angeles) |
Data Science Seminar |
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November 19, 2021 |
Certified Robustness against Adversarial Attacks in Image Classification
Fatemeh Sheikholeslami (Bosch Center for Artificial Intelligence)
|
Industrial Problems Seminar |
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November 12, 2021 |
Lessons Learned in Deploying AI in Manufacturing
Eric Wespi (Boston Scientific)
|
Industrial Problems Seminar |
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November 09, 2021 |
Non-Parametric Estimation of Manifolds from Noisy Data
Yariv Aizenbud (Yale University)
|
Data Science Seminar |
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November 05, 2021 |
Data Science @ Instacart
Jeffrey Moulton (Instacart)
|
Industrial Problems Seminar |
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October 29, 2021 |
Challenges in Building Intelligent Search Systems
Jiguang Shen (Microsoft Research)
|
Industrial Problems Seminar |
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October 22, 2021 |
Predicting Tomorrow: Industrial Forecasting at Scale
Jimmy Broomfield (Target Corporation)
|
Industrial Problems Seminar |
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October 19, 2021 |
Data depths meet Hamilton-Jacobi equations
Ryan Murray (North Carolina State University)
|
Data Science Seminar |
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October 15, 2021 |
Data Scientists under attack!! Let's help them together
Sharath Dhamodaran (OptumLabs)
|
Industrial Problems Seminar |
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October 12, 2021 |
Organizational Collaboration with Assisted Learning
Jie Ding (University of Minnesota, Twin Cities)
|
Data Science Seminar |
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October 08, 2021 |
Research and Opportunities in the Mathematical Sciences at Oak Ridge National Laboratory
Juan Restrepo (Oregon State University)
|
Industrial Problems Seminar |
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October 05, 2021 |
Scalable and Sample-Efficient Active Learning for Graph-Based Classification
Kevin Miller (University of California, Los Angeles)
|
Data Science Seminar |
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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 |
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September 21, 2021 |
Handling model uncertainties via informative Goodness-of-Fit
Sara Algeri (University of Minnesota, Twin Cities)
|
Data Science Seminar |
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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 |
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September 10, 2021 |
Being Smart and Dumb: Building the Sports Analytics Industry
Dean Oliver ( NBA's Washington Wizards)
|
Industrial Problems Seminar |
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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 |
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April 27, 2021 |
Polynomial Time Guarantees for the Burer-Monteiro Method
Diego Cifuentes (Massachusetts Institute of Technology) |
Data Science Seminar |
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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 |
