Numerical Analysis in Data Science Transition Virtual Workshop

May 24-26, 2021


The Fall 2020 SAMSI program on Numerical Analysis in Data Science (NADS) has seen exciting scientific progress by researchers in five different working groups: (i) large-scale inverse problems and uncertainty quantification, (ii) global sensitivity analysis, (iii) randomized algorithms for matrices and data, (iv) reinforcement learning, and (v) dimensionality reduction in time series. The 3-day transition workshop will be held virtually through zoom and will highlight some of the recent advances made as part of this semester program. Additionally, in synergy with the NSF-Funded research training grant titled ‘RTG: Randomized Numerical Analysis’ at NC State, there will be tutorials on the first day of the workshop related to the working group themes including randomized numerical linear algebra, parameter estimation, sensitivity analysis, etc.


(Note: Talks will not be recorded)

Monday, May 24, 2021

Time Description Speaker Slides
9:15 Welcome David Banks, SAMSI; Mansoor Haider, NCSU
Tutorials co-sponsored by NCSU Randomized Numerical Analysis Research Training Group
9:30 The Ideas Behind Randomized Algorithms for Least Squares Problems Ilse C.F. Ipsen, NCSU
11:00 TBD Pierre Gremaud, NCSU
12:00 Lunch Break
1:00 Optimal Design of Experiments for Large-scale Bayesian Inverse Problems Alen Alexanderian, NCSU
2:30 Bayesian Inference and Uncertainty Propagation for Physical and Biological Models Ralph Smith, NCSU
3:30 Adjourn

Tuesday, May 25, 2021

Time Description Speaker Slides
Dimension Reduction in Time Series Working Group
9:30 Priyan De Alwis, So. Illinois U.
9:52 Wiranthe Herath, So. Illinois U.
10:15 Hadi Safari, So. Illinois U.
10:38 Nasser Sadeghkhani, ITAM
Global Sensitivity Analysis Working Group
11:15 Alen Alexanderian, NCSU
11:25 Mike Merritt, NCSU
11:45 Katherine Pearce, NCSU
12:05 Erin Acquesta & Mike Smith, Sandia
12:25 Agnes Lagnoux & Thierry Klein, Toulouse
12:45 Lunch Break
Inverse Problems and Uncertainty Quantification Working Group
1:30 Silvia Gazzola, University of Bath
2:00 Matthias Chung, Virginia Tech
2:30 Taewon Cho, Virginia Tech
2:45 Willliam Reese, NCSU
3:00 Mirjeta Pasha, Arizona State
3:30 Adjourn

Wednesday, May 26, 2021

Time Description Speaker Slides
9:30 Meeting – Program Leaders and SAMSI Directors
Reinforcement Learning Working Group (joint with ARL Seminar,
10:30 Zhuoran Yang, Princeton
11:00 Zhaoran Wang, Northwestern
11:30 Houssam Nassif, Amazon
12:00 Lunch Break
Randomized Numerical Linear Algebra Working Group
1:00 Elizabeth Newman, Emory
1:30 Agnieszka Miedler, U Kansas
2:00 Rosemary Renaut, Arizona State
2:30 Grey Ballard, Wake Forest
3:00 Closing Remarks
3:15 Adjourn

Questions: email