#### The Center of Mathematical Sciences and Applications will be having a conference on Big Data August 24-26, 2015, in Science Center Hall B at Harvard University. This conference will feature many speakers from the Harvard Community as well as many scholars from across the globe, with talks focusing on computer science, statistics, math and physics, and economics.

#### For more info, please contact Sarah LaBauve at slabauve@math.harvard.edu.

**Registration for the conference is now closed.**

#### Please click here for a downloadable version of this schedule.

**Please note that lunch will not be provided during the conference, but a map of Harvard Square with a list of local restaurants can be found here.**

**Monday, August 24**

Time | Speaker | Title |

8:45am | Meet and Greet | |

9:00am | Sendhil Mullainathan | Prediction Problems in Social Science: Applications of Machine Learning to Policy and Behavioral Economics |

9:45am | Mike Luca | Designing Disclosure for the Digital Age |

10:30 | Break | |

10:45 | Jianqing Fan | Big Data Big Assumption: Spurious discoveries and endogeneity |

11:30am | Daniel Goroff | Privacy and Reproducibility in Data Science |

12:15pm | Break for Lunch | |

2:00pm | Ryan Adams | Exact Markov Chain Monte Carlo with Large Data |

2:45pm | David Dunson | Scalable Bayes: Simple algorithms with guarantees |

3:30pm | Break | |

3:45pm | Michael Jordan | Computational thinking, inferential thinking and Big Data |

4:30pm | Joel Tropp | Applied Random Matrix Theory |

5:15pm | David Woodruff | Input Sparsity and Hardness for Robust Subspace Approximation |

**Tuesday, August 25**

Time | Speaker | Title |

8:45am | Meet and Greet | |

9:00am | Gunnar Carlsson | Persistent homology for qualitative analysis and feature generation |

9:45am | Andrea Montanari | Semidefinite Programming Relaxations for Graph and Matrix Estimation: Algorithms and Phase Transitions |

10:30am | Break | |

10:45am | Susan Athey | Machine Learning and Causal Inference for Policy Evaluation |

11:30am | Denis Nekipelov | Robust Empirical Evaluation of Large Competitive Markets |

12:15pm | Break for Lunch | |

2:00pm | Lucy Colwell | Using evolutionary sequence variation to make inferences about protein structure and function: Modeling with Random Matrix Theory |

2:45pm | Simona Cocco | Inverse Statistical Physics approaches for the modeling of protein families |

3:30pm | Break | |

3:45pm | Remi Monasson | Inference of top components of correlation matrices with prior informations |

4:30pm | Sayan Mukherjee | Random walks on simplicial complexes and higher order notions of spectral clustering |

A Banquet from 7:00 – 8:30pm will follow Tuesday’s talks. This event is by invitation only.

** Wednesday, August 26 **

Time | Speaker | Title |

8:45am | Meet and Greet | |

9:00am | Ankur Moitra | Beyond Matrix Completion |

9:45am | Florent Krzakala | Optimal compressed sensing with spatial coupling and message passing |

10:30am | Break | |

10:45am | Piotr Indyk | Fast Algorithms for Structured Sparsity |

11:30am | Guido Imbens | Exact p-values for network inference |

12:15pm | Break for lunch | |

2:00pm | Edo Airoldi | Some fundamental ideas for causal inference on large networks |

2:45pm | Ronitt Rubinfeld | Something for almost nothing: sublinear time approximation algorithms |

3:30pm | Break | |

3:45pm | Lenka Zdeborova | Clustering of sparse networks: Phase transitions and optimal algorithms |

4:30pm | Jelani Nelson | Dimensionality reductions via sparse matrices |