The 2019 MINDS Symposium on the Foundations of Data Science will be held November 20, 2019 in Shriver Hall.
Leading data science researchers will discuss the importance of data science in their fields and the continued need for advancement.
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Confirmed Speakers
 Raman Arora Johns Hopkins University |  Sanjeev Arora Princeton University |  Joan Bruna New York University |
 Arnaud Doucet University of Oxford / DeepMind |  Anna Gilbert University of Michigan |  Charles Meneveau Johns Hopkins University |
 Amit Singer Princeton University |  Jeremias Sulam Johns Hopkins University |  Archana Venkataraman Johns Hopkins University |
 Martin Wainwright University of California at Berkeley |  Rachel Ward UT Austin |
Agenda
| Time | Speaker | Affiliation | Title of Presentation |
|---|---|---|---|
Opening Ceremony |
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| 9:00 | Ed Schlesinger | Benjamin T. Rome Dean, Whiting School of Engineering, Johns Hopkins University | Introductory Remarks |
| 9:10 | René Vidal | Herschel Seder Professor of Biomedical Engineering, Director of the Mathematical Institute for Data Science, Johns Hopkins University | Annoucement of TRIPODS & Awards Ceremony |
Session 1 |
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| 9:30 | Sanjeev Arora | Charles C. Fitzmorris Professor of Computer Science, Princeton University | Is optimization the right language to understand deep learning? |
| 10:00 | Raman Arora | Assistant Professor of Computer Science, Johns Hopkins University | Online Learning in Reactive Environments |
| 10:15 | Lin Yang | Assistant Professor of Electrical & Computer Engineering, UCLA | Taming big data by streaming |
| 10:30 | Coffee Break | ||
Session 2 |
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| 11:00 | Martin Wainwright | Chancellor's Professor of Statistics, Electrical Engineering and Computer Sciences, UC Berkeley | From Optimization to Statistical Learning: A View from the Interface |
| 11:30 | Arnaud Doucet | Professor of Statistics, University of Oxford & Research Scientist, DeepMind | Exact Simulation for State-Space Models |
| 12:00 | Rachel Ward | Associate Professor of Mathematics, University of Texas at Austin | Concentration inequalities for products of independent matrices |
| 12:30 | Lunch Break | 2nd Floor of Shriver Hall | |
Session 3 |
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| 14:00 | Joan Bruna | Assistant Professor of Computer Science, Courant Institute and Center for Data Science, NYU | Mathematics of Deep Learning: myths, truths and enigmas |
| 14:30 | Anna Gilbert | Herman H. Goldstine Collegiate Professor of Mathematics, University of Michigan | Learning Metric Representations: Theory and Applications |
| 15:00 | Jeremias Sulam | Assistant Professor of Biomedical Engineering, Johns Hopkins University | Sparse Priors in Neural Architectures |
| 15:15 | Chong You | Postdoctoral Researcher, University of California, Berkeley | Sparse Methods for Learning Multiple Subspaces from Large-scale, Corrupted and Imbalanced Data |
| 15:30 | Coffee Break | ||
Session 4 |
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| 16:00 | Amit Singer | Professor Department of Mathematics, Princeton University | Mathematics of Cryo-Electron Microscopy |
| 16:30 | Charles Meneveau | Louis M. Sardella Professor in Mechanical Engineering, Associate Director of IDIES, Johns Hopkins University | Fluid Turbulence and Learning from Big Numerical Data Sets |
| 17:00 | Archana Venkataraman | John C. Malone Assistant Professor of Electrical Engineering, Johns Hopkins University | Generative-Deep Hybrids for Decoding the Brain |
| 17:15 | Closing | ||