Conference on Advances in Data Science:
Theory, Methods and Computation
February 25-26, 2022 (Subject to Change)
Location: TBD
(Registration Link to be provided)
Conference Organizers:
Moumita Karmakar, Instructional Assistant Professor, Department of Statistics, TAMU
Bani K. Mallick, Susan M. Arseven ’75 in Data Science and Computational Statistics, Distinguished Professor
Department of Statistics, TAMU
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
PR Kumar, College of Engineering Chair in Computer Engineering, Distinguished Professor, Department of
Electrical & Computer Engineering, TAMU
Tapasree Roy Sarkar, Research Assistant Professor, Department of Biology, TAMU
Conference Institutional Co-Organizers:
The Foundations in Data Science Institute (FIDS) Executive Committee
The Institute for Foundations of Interdisciplinary Data Science (FIDS) is well positioned to develop rigorous theories, novel methodologies, and efficient computational techniques to solve data challenges in many other application domains.
Keynote Speakers:
Scott Joel Aaronson, Theoretical Computer Scientist and David J. Bruton Jr. Centennial Professor of Computer Science, University of Texas
Susan P. Holmes, Professor, Department of Statistics, Stanford Univeristy
Susan A. Murphy, Professor, Department of Statistics, Harvard University
Björn Sandstede, Professor of Applied Mathematics, Royce Family Professor of Teaching Excellence, Director of Brown’s Data Science Initiative, Brown University
Joel Tropp, Professor, Department of Computing and Mathematical Sciences, California Institute of Technology
Invited Speakers:
TBD
Schedule for Friday, February 25, 2022:8:00 – 9:00 Registration/Breakfast 9:00 – 9:15 Welcome by Dr. Valen Johsnon 9:15 – 9:30 Introduction by Dr. Bani Mallick 9:30 – 10:30 Joel Tropp, Keynote Speaker Session 1: Mathematics of Data Science Invited Presentations: 10:30 – 11:00 Pragya Sur (Harvard John A. Paulson 11:00 – 11:30 Joan Bruna (Courant Data Science) 11:30 – 12:00 Tom Ellis (Microsoft Research) 12:00 – 1:00 (LUNCH) 1:00 – 2:00 Susan Murphy, Keynote Speaker Session 2: Application in Data Science (Part I) Invited Presentations: 2:00 – 2:30 Kinjal Basu (LinkedIn) 2:30 – 3:00 Piya Pal (UC San Diego) 3:00 – 3:30 Aditya Ramdas (CMU) 3:30 – 4:00 (BREAK) 4:00 – 6:00 Poster Session 6:00 – 7:00 Reception |
Schedule for Saturday, February 26, 2022:8:00 – 9:00 Registration/Breakfast 9:00 – 10:00 Scott Aaronson, Keynote Speaker Session 3: Advances in Quantum Computing in Machine Learning Invited Presentations: 10:00 – 10:30 Yazhen Wang (UW Computer Sciences) 10:30 – 11:00 Crystal Senko (University of Waterloo) 11:00 – 11:30 Alexei Ashikhmin (Nokia Bell Labs) 11:30 – 12:30 (LUNCH) 12:30 – 1:30 Susan P. Holmes, Keynote Speaker Session 4: Application in Data Science (Part II) Invited Presentations: 1:30 – 2:00 Veronica Rockova (Chicago Booth) 2:00 – 2:30 Roger Zoe (Iowa State University) 2:30 – 3:00 Tanya Garcia (UNC Chapel Hill) 3:00 – 3:15 Concluding Remark by Conference Chair, Dr. Bani Mallick |