October 21-22, 2022

Hilton College Station & Conference Center

Rooms TBA


Conference Organizers:

Ronald DeVore, Walter E. Koss Professor and Distinguished Professor, Department of Mathematics, TAMU

Nick Duffield, Professor, Department of Electrical & Computer Engineering, Director of the Texas A&M Institute of Data Science, TAMU

Moumita KarmakarInstructional Assistant Professor, Department of Statistics, TAMU

PR Kumar, O’ Donnell Foundation Chair I, Distinguished Professor, Department of Electrical & Computer Engineering, TAMU

Bani K. MallickSusan M. Arseven ’75 in Data Science and Computational Statistics, Distinguished Professor, Department of Statistics, TAMU

Brani VidakovicProfessor, H.O. Hartley Chair and Department Head, Department of Statistics, TAMU

Keynote Speakers:

Edward I. George, University of Pennsylvania
Peter Hoff, Duke University
James Scott, University of Texas at Austin
Ryan Tibshirani, Carnegie Mellon University
Moshe Vardi, Rice University


To view the detailed schedule with talk titles & abstracts, click here

Friday October 21, 2022

*8:30am – 9:00am
Breakfast and Registration

*9:00am – 9:30am
Welcome and Introduction

*9:30am – 10:20am
Keynote Speaker: Ed George, University of Pennsylvania
Chair: Mohsen Pourahmadi

*10:30am – 11:45am
Session 1 – Advances in Matrix and Tensor Learning
Organizer & Chair: Raymond Wong

Ranjan Maitra, Iowa State University
Zhengwu Zhang, University of North Carolina, Chapel Hill
Hua Zhou, University of California, Los Angeles

Session 2 – Cutting Edge Machine Learning Techniques and their Applications
Organizer: Bani Mallick
Chair: Yang Ni

Genevera Allen, Rice University
Sujay Sanghavi, University of Texas at Austin
James Sharpnack, University of California, Davis

*12:00pm – 12:50pm
Keynote Speaker: Moshe Vardi, Rice University
Chair: Nick Duffield

*1:00pm – 1:45pm

*2:00pm – 2:50pm
Keynote Speaker: James Scott, University of Texas at Austin
Chair: Matthias Katzfuss

*3:00pm – 4:15pm
Session 3 – Foundations of Approximate Bayesian Inference
Organizers: A. Bhattacharya, D. Pati
Chair: Patricia Ning

Jonathan Huggins, Boston University
Ryan Martin, NC State University
Yun Yang, University of Illinois Urbana-Champaign

Session 4 – Recent Advances in Complex Spatial Data
Organizer & Chair: Huiyan Sang

Abhirup Datta, John Hopkins University
Guanyu Hu, University of Missouri
Qiwei Li, University of Texas at Dallas

*4:15pm – 5:30pm
Poster Session

Conference Dinner (Invitation Only)

Saturday October 22, 2022

*8:30am – 9:00am
Breakfast and Registration

*9:00am – 9:50am
Keynote Speaker: Ryan Tibshirani, Carnegie Mellon University
Chair: Ron Devore

*10:00am – 11:15am
Session 5 – Machine Learning and Biomedical Applications
Organizer: Brani Vidakovic
Chair: Scott Bruce

Debashree Ray, Johns Hopkins
Peter Mueller, University of Texas, Austin
Katja Ickstadt, University of Dortmund Germany

Session 6 – Mathematical Data Science
Organizer & Chair: Simon Foucart

Gilad Lerman, University of Minnesota
Sui Tang, University of California, Santa Barbara
Mark Iwen, Michigan State University

*11:25am – 12:15pm
Keynote Speaker: Peter Hoff, Duke University
Chair: Samiran Sinha

*12:15pm – 12:45pm

*12:45pm – 2:00pm
Session 7 – Learning from Dynamical System
Organizer: Dileep Kalathil
Chair: Raj Guhaniyogi

Nilanjana Laha, Texas A&M University
Aryan Mokhtari, University of Texas, Austin
Dileep Kalathil, Texas A&M University

Session 8 – Data Science for Behavioral and Mental Health
Organizer: T. Chaspari
Chair: Sharmishtha Guha

Edison Thomaz, University of Texas at Austin
Ioannis Pavlidis, University of Houston
Adela Timmons, University of Texas at Austin

*2:00pm – 2:30pm
Poster Prize Distribution & Conference Wrap-up

Poster Session Announcement

Technical posters showing/presenting innovative and original research are solicited. In general, we are interested in posters related to all areas of data science that validate important research finds or showcase realistic applications that impact the data-science community and community partners.

The Joe Newton Poster Awards will be selected By an Awards Committee And Given A Certificate with A Cash Prize.

1st Place – $2,000

2nd Place – $1,000

3rd Place – $500

Poster Submission Instructions and Requirements
Click Here

Travel Awards

The purpose of the Data Science Conference Travel Award is to support participation by junior researchers (who has received a PhD or equivalent in the last 5 years), and Students (in the final year of their phd). To apply for the travel award, send your short CV (2 pages maximum) in PDF format  to bmallick@stat.tamu.edu  by Sept 25, 2022. Recipients with award amounts will be notified ahead of the conference.

Sponsored By:

National Science Foundation

Texas A&M Institute for Applied Mathematics & Computational Science (IAMCS)

Texas A&M Institute of Data Science (TAMIDS)

Texas A&M TRIPODS Research Institute for Foundations of Interdisciplinary Data Science (FIDS)

Texas A&M Department of Statistics