July 12-16, 2021
(virtual, via Zoom)
Application Deadline was May 31, 2021
Description:
This five-day virtual workshop will introduce graduate students to topics in mathematical and statistical modeling that are needed to carry out advanced research in a data-driven context. Important aspects of model formulation and selection, parameter estimation, sensitivity analysis and uncertainty quantification, including synergies with machine learning, will be covered in a series of mini-tutorials. The tutorials will include projects that participants will work on in groups, presenting their results on the final day of the workshop. Researchers from outside of academia (national labs, government agencies, industry) will present a series of case studies demonstrating how advanced mathematical and statistical research is used to address problems in these sectors. The workshop will also include a set of career development activities and professional development panel discussions. Participants will leave the workshop with a greater understanding of the skills needed to address mathematical and statistical problems in a data rich context whether in academia, government, or industry.
Eligibility:
Applicants must be currently enrolled full-time in a US-based mathematics, statistics (or related) graduate program. Participants are expected to have access to high-speed internet and a computer with R and/or Matlab. Participants must also make a commitment to participate in the full workshop.
Schedule: (All Times are EDT – New York):
Monday July 12th | |
Day 1 | |
9:30 | Opening & Introductions: SAMSI Directorate Members |
9:45 | Overview of Workshop: Mansoor Haider & Emily Griffith |
10:00 | Tutorial#1: Alen Alexanderian |
Sensitivity analysis of optimal control problems with application to disease modeling | |
11:15 | Tutorial#2: Ralph Smith |
Bayesian Inference and Uncertainty Propagation for Physical and Biological Models | |
12:15 | Break |
1:30 | A2I Strength Training Professional Development Workshop |
Dr. Joe Aldinger (Director) & Morgan Dalman (Program Assistant), A2i, NCSU | |
3:30 | Break |
4:00 | Tutorial#3: Srijan Sengupta |
NLP-driven statistical modeling for patient safety | |
Tuesday July 13th | |
Day 2 | |
10:00 | Tutorial#4: John Nardini |
Learning differential equation models from stochastic agent-based model simulations | |
11:00 | Initial Team Meetings |
Breakout Rooms | |
11:45 | Case Study#1: Mosquitoes Everywhere! Modeling Vector Borne Diseases in a Changing Environment |
Kimberly Kaufeld, Los Alamos National Laboratories | |
12:45 | Break |
1:30 | Case Study#2: Where’s the Bottom? Remote Assessment for Flood Risk Reduction and Mobility in Shallow Aquatic Environments |
Matt Farthing & Ty Hesser, US Army Corps of Engineers | |
2:40 | Case Study #3: A Case Study of Applied Mathematics at Sandia National Laboratories: Design of Electromagnetic Reflectors with Integrated Shape Control |
Jordan Massad, Sandia National Laboratories | |
4:00 | Panel on Careers in National Labs & Government Agencies |
Kimberly Kaufeld (Los Alamos), Matt Farthing (USACE), Ty Hesser (USACE), Jordan Massad (Sandia) | |
Wednesday July 14th | |
Day 3 | |
9:30 | Working Session on Projects in Teams |
Breakout Rooms | |
12:00 | Break |
1:30 | Panel on Careers in Industry |
Bruce Campbell (Red Hat), Laura Potter (Syngenta), Shusheela Singh (Google), Hoang Tran (GSK) | |
2:30 | Working Session on Projects in Teams |
Breakout Rooms | |
3:30 | Team Progress Updates |
4:00 | Panel on Careers in Academia featuring Junior Faculty |
Emily Hector (NCSU), Emily Kang (University of Cincinnati), Andee Kaplan (Colorado State University), Alexandria Volkening (Northwestern), Arvind Saibaba (NCSU) | |
Thursday July 15th | |
Day 4 | |
9:30 | Working Session on Projects in Teams |
Breakout Rooms | |
12:00 | Break |
1:30 | Hot Topic Lecture – Accelerated, Derivable Symbolic Discovery through Synergy of Theory and Data |
Lior Horesh, Senior Manager & Master Inventor, AI Science, IBM TJ Watson Research Center | |
2:30 | Working Session on Projects in Teams |
Breakout Rooms | |
4:00 | Team Progress Updates |
Friday July 16th | |
Day 5 | |
10:00 | Final Working Session on Projects in Teams |
Breakout Rooms | |
12:30 | Break |
1:30 | Group 1 – Sensitivity Analysis – Alexanderian |
2:00 | Group 3 – NLP – Sengupta |
2:30 | Break |
3:00 | Group 2 – Bayesian Inference – Smith |
3:30 | Group 4 – Learning DiffEq – Nardini |
4:00 | Closing Remarks & Adjourn |
Questions: [email protected]