Algorithmic, Mathematical, and Statistical Foundations of Data Science and Applications

April 12-13, 2019

About

Data Science is a growing field that uses data and computing to improve everyday life. This field poses a unique set of multi-disciplinary challenges spanning:

  • Computer science
  • Statistics
  • Applied mathematics
  • Machine learning

and their use in the sciences (such as biology, chemistry, physics, engineering, sociology, economics, medicine, etc.). The data science workshop at Purdue will focus on the theoretical foundations of Data Science while highlighting the helpful feedback cycle between foundational work and applications.

Speakers

Keynote Speakers

Anna Gilbert

University of Michigan

Department of Mathematics

Michael Jordan

University of California Berkeley

Department of Electrical Engineering and Computer Sciences, Department of Statistics

Tamara Kolda

Sandia National Labs

Vahab Mirrokni

Google Research

Christos Papadimitriou

Columbia University

Department of Computer Science

Rachel Ward

University of Texas at Austin

Department of Mathematics

Purdue Highlight Speakers

Elias Bareinboim

Department of Computer Science

Ilias Bilionis

Department of Mechanical Engineering

Simina Branzei

Department of Computer Science

Stanley Chan

Department of Electrical and Computer Engineering, Statistics

Gaurav Chopra

Department of Chemistry

Joaquin Goni

Department of Industrial Engineering

Ananth Grama

Department of Computer Science

Guang Lin

Department of Mathematics

Abram Magner

University of Illinois Urbana-Champaign

Jennifer Neville

Department of Computer Science

Peristera Paschou

Department of Biological Sciences

Vinayak Rao

Department of Statistics

Program

Friday, April 12 (at Ross-Ade Stadium, Room TBA)
TimeEvent
8:30am - 9:15am Registration & Breakfast
9:15am - 9:30am Introductory Remarks
9:30am - 10:45am

Session 1

10:45am - 11:15am Coffee Break
11:15am - 12:30pm

Session 2

12:30pm - 2:00pm Lunch Break
2:00pm - 3:15pm

Session 3:

3:15pm - 3:45pm

Session 4:

6:00pm Dinner (by invitation only)

 

Saturday, April 13 (at Lawson Computer Science Building, Room TBA)
TimeEvent
9:00am - 9:30am Breakfast
9:30am - 10:45am

Session 5

10:45am - 11:15am Coffee Break
11:15am - 12:30pm

Session 6

12:30pm - 12:35pm

Closing Remarks

Registration

Content coming soon

Organizers

Petros Drineas

Department of Computer Science

Purdue University

David Gleich

Department of Computer Science

Purdue University