Welcome to the 2022 NSF MSGI Summer Research Symposium
This unique two day virtual event showcased the research and learning experiences of 2022 MSGI doctoral student interns spending their summer at Department of Energy (DOE) and other federal national laboratories across the country. Presentations highlighted the diverse areas of applied mathematical sciences.
Scheduled topics included research-focused traditional style presentations. In addition to featuring MSGI interns, this event spotlighted national laboratories engaging in advanced mathematical sciences research.
Highlights of the event:
- NSF Welcome and Plenary Session, An overview of the NSF MSGI program and its initiative to strengthen the next generation of mathematical scientists by applying advanced mathematical and statistical techniques to “real world” problems.
- Panel Discussion, "Preparing Students for Careers in the Mathematical Sciences." Distinguished panelists from national laboratories highlighting the role of mathematics and statistics graduate education in preparing students for careers in science and industry, and the distinctive contribution of internship programs such as MSGI.
- Presentations, Research-focused traditional style presentations from mathematical sciences doctoral students covering the following topics:
- Fluids, Climate, and Atmospheric Science
- Data Science and Machine Learning
- Mathematical Biology
- Numerical Methods
- Physics
- Quantum Computing
- Stochastics and Statistics
Moderators
Dr. Yulia Gel, Program Director, Division of Mathematical Sciences, National Science Foundation

Program Responsibilities include:
- Algorithms for Modern Power Systems
- Algorithms for Threat Detection
- Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
- NSF Mathematical Sciences Graduate Internship
- Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science
- Statistics
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Dr. Gel's Bio
Dr. Gel is a Professor of Statistics at the University of Texas at Dallas. She is currently on a temporary assignment as an NSF Program Officer in the Division of Mathematical Sciences, Statistics Program. Her research agenda stems around topological and geometric methods in statistics and machine learning, nonparametric statistics, inference and models for spatio-temporal processes and complex networks. The areas of applications include climate informatics, biosurveillance, and blockchain data analytics.
Dr. Jeremy Tyson, Program Director, Division of Mathematical Sciences, National Science Foundation

Program Responsibilities include:
- Analysis
- Mathematical Sciences Postdoctoral Research Fellowships
- NSF Mathematical Sciences Graduate Internship
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Dr. Tyson's Bio
Dr. Tyson is a Professor of Mathematics at the University of Illinois at Urbana-Champaign. Dr. Tyson is currently on a temporary assignment as an NSF Program Officer in the Analysis Program. His areas of research interest include analysis in metric spaces, geometric mapping theory, geometric measure theory, fractal geometry, and sub-Riemannian geometry. Dr. Tyson is particularly interested in notions of first-order differential calculus and differential geometry in metric measure spaces lacking any a priori Euclidean or Riemannian structure.
Dr. Swatee Naik, Program Director, Division of Mathematical Sciences, National Science Foundation

Program Responsibilities include:
- CAREER
- Focused Research Groups in Mathematical Sciences
- Geometric Analysis
- Internships (MSGI, INTERN)
- Mathematical Sciences Postdoctoral Fellowships
- MPS-Ascend postdoctoral fellowships
- Topology
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Dr. Naik's Bio
Dr. Naik’s research interests are low dimensional topology and knot theory. Since 1994 until 2019, she was a Professor of Mathematics at the University of Nevada, Reno. Dr. Naik joined NSF as a rotator in the Topology and Geometric Analysis programs in 2015 and was hired as a permanent program director in 2019. At NSF she has worked with multiple programs, including Graduate Research Fellowships, NSF Research Traineeships, Research Experience for Undergraduates, Research Training Groups, and Mathematical Science Infrastructure
Panelists

Dr. Aditi Krishnapriyan, Applied Mathematician
- Facility: Lawrence Berkeley National Laboratory
- Faculty: University of California, Berkeley
- Bio: https://a1k12.github.io
Dr. E. Louise Loudermilk, Research Ecologist
- Facility: U.S. Department of Agriculture, Forest Service, Southern Research Station
- Bio: https://www.srs.fs.usda.gov/staff/1003
Dr. Gabriel Perdue, Scientist

- Facility: Fermi National Accelerator Laboratory (Fermilab)
- Bio: https://computing.fnal.gov/gabriel-perdue/
Dr. Kevin R. Pilkiewicz, Research Chemist

- Facility: U.S. Army Corps of Engineers, Engineer Research and Development Center
- Bio: https://egsb.el.erdc.dren.mil/Personnel/kevin-pilkiewicz/
Dr. Stefan M. Wild, Deputy Division Director/Senior Computational Mathematician

- Facility: Argonne National Laboratory
- Bio: https://www.anl.gov/profile/stefan-m-wild
Schedule
All times are in Eastern Daylight Time | View the printable schedule (.pdf, 246 KB)
Symposium Moderators:
Yulia Gel, Program Director, National Science Foundation
Jeremy Tyson, Program Director, National Science Foundation
Swatee Naik, Program Director, National Science Foundation
Jennifer Burnette, Project Manager, Oak Ridge Institute for Science and Education
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August 25th, 2022
Welcome and Schedule of Events (vimeo.com video)
10:00AM Welcome from the Division Director - Dr. David Manderscheid, Division Director, Division of Mathematical Sciences, National Science Foundation
- Jennifer Burnette, Project Manager, Oak Ridge Institute of Science and Education
Research Presentations These sessions will feature 15-minute research-focused traditional style presentations from mathematical sciences doctoral students. Research presentations will feature the following topics: 1) Data Science and Machine Learning, 2) Fluids, Climate, and Atmospheric Science, 3) Mathematical Biology, 4) Numerical Methods, 5) Physics, 6) Quantum Computing, and 7) Stochastics and Statistics. Numerical Methods (vimeo.com video) 10:30AM Acceleration of Kernel Methods with Nystrom Approximation
- Zezheng Song, Lawrence Berkeley National Laboratory
- Raymond Centner, National Institute of Standards and Technology
Mathematical Biology (vimeo.com video)
11:00AM Simulating African Swine Fever Movement with SIR Models - Abigail D'Ovidio Long, United States Department of Agriculture: Animal and Plant Health Inspection Service
- Alvis Zhao, United States Department of Agriculture Forest Service
Data Science and Machine Learning (vimeo.com video) 11:30AM Causal inference and discovery with dynamic intervention for policy-making - Jimi Kim, Oak Ridge National Laboratory: Oak Ridge Leadership Computing Facility
- Oluwadamilola Fasina, Lawrence Berkeley National Laboratory
- Moyi Tian, Oak Ridge National Laboratory
- Jonah Botvinick-Greenhouse, Argonne National Laboratory, MCS Division
- Madhu Gupta, Oak Ridge National Laboratory
- Liangchen Liu, National Institute of Standards and Technology
Stochastics and Statistics (vimeo.com video)
1:00PM Techniques of Design of Experiments and Space Filling Designs - Manisha Garg, Argonne National Laboratory
- Julie Sherman, United States Geological Survey: Upper Midwest Environmental Sciences Center
- Muhammad Rao, Los Alamos National Laboratory
- Manushi Welandawe, Argonne National Laboratory
Mathematical Biology (vimeo.com video) 2:00PM Decoding Animal Behaviors: Using Information Theory to Explore Behavioral Dynamics in Golden Shiners - Katherine Daftari, United States Army Corps of Engineers: Engineer Research and Development Center
- Wai Ho Chak, Lawrence Berkeley National Laboratory
Numerical Methods (vimeo.com video) 2:30PM An exploration of multidimensional numerical integration techniques in PAGANI and m-CUBES - Madison Phelps, Fermi National Accelerator Laboratory
Break 2:45PM Data Science and Machine Learning (vimeo.com video) 3:00PM Transfer learning techniques for building damage assessment - Yandi Wu, United States Army Corps of Engineers: Engineer Research and Development Center: Geospatial Research Laboratory
Fluids, Climate, and Atmospheric Science (vimeo.com video) 3:15PM Pressure-dependant rheological stress model of continuum granular flows - Eunji Yoo, Lawrence Berkeley National Laboratory
- Nian Liu, Los Alamos National Laboratory
Break 3:45PM Fluids, Climate, and Atmospheric Science Cont’d 4:00PM High Amplitude Acoustic Propagation in Porous Media - Ryan McConnell, United States Army Corps of Engineers: Engineer Research and Development Center: Cold Regions Research and Engineering Laboratory
- Jithin George, National Renewable Energy Laboratory
- Alexander Mendez, United States Department of Agriculture Forest Service
Physics (vimeo.com video) 4:45PM Machine Learning of Peridynamic Models - Biraj Dahal, Oak Ridge National Laboratory
- Minji Kim, Lawrence Livermore National Laboratory
- Arthur Mills, National Energy Technology Laboratory
- Irving Martinez, Sandia National Laboratory
Closing Remarks 5:45PM -
August 26th, 2022
Welcome Back Research Presentations These sessions will feature 15-minute research-focused traditional style presentations from mathematical sciences doctoral students. Research presentations will feature the following topics: 1) Data Science and Machine Learning, 2) Fluids, Climate, and Atmospheric Science, 3) Mathematical Biology, 4) Numerical Methods, 5) Physics, 6) Quantum Computing, and 7) Stochastics and Statistics. Stochastics and Statistics (vimeo.com video) 10:00AM Statistical metrics for evaluating the compressibility of scientific datasets through lossy compressors - Arkaprabha Ganguli, Argonne National Laboratory
- Yiming Fan, Sandia National Laboratory
- Hwanwoo Kim, Argonne National Laboratory
Fluids, Climate and Atmospheric Science (vimeo.com video) 10:50AM Predict Soil Moisture Content Using Physics-Informed Neural Networks - Jiajing Guan, United States Army Corps of Engineers, Cold Regions Research and Engineering Laboratory
Quantum Computing (vimeo.com video) 11:05AM A statistically-inspired method for enhancing error mitigation in quantum computing - Wern Yeen Yeong, Fermi National Accelerator Laboratory
Fluids, Climate, and Atmospheric Science (vimeo.com video) 11:20AM A Higher Order, Stable Partitioned Scheme for Fluid-Structure Interaction Problems - Kyle Schwiebert, Los Alamos National Laboratory
- Madhumita Roy, Oak Ridge National Laboratory
- Tiffany Christian, Argonne National Laboratory
Physics (vimeo.com video)
12:05PM Building Hierarchical Graphs to Describe Neutrino Interactions - Alaittin Kirtisoglu, Fermi National Accelerator Laboratory
- Zhaiming Shen, Oak Ridge National Laboratory
- Hanmo Li, Lawrence Livermore National Laboratory
Break 12:50PM Panel Discussion: Preparing Students for Careers in Mathematical Sciences (vimeo.com video) 1:00PM This session will feature distinguished panelists from national laboratories and highlight the role of mathematics and statistics graduate education in preparing students for careers in science and industry, and the distinctive contribution of internship programs such as MSGI.
Moderator- Dr. Jeremy Tyson, Program Director, Division of Mathematical Sciences, National Science Foundation
- Dr. Aditi Krishnapriyan, Applied Mathematician, Lawrence Berkeley National Laboratory
- Dr. E. Louise Loudermilk, Research Ecologist, U.S. Department of Agriculture, Forest Service, Southern Research Station
- Dr. Gabriel Perdue, Scientist, Fermi National Accelerator Laboratory (Fermilab)
- Dr. Kevin R. Pilkiewicz, Research Chemist, U.S. Army Corps of Engineers, Engineer Research and Development Center
- Dr. Stefan M. Wild, Deputy Division Director/Senior Computational Mathematician, Argonne National Laboratory
Quantum Computing (vimeo.com video) 2:00PM Simulating Quantum Circuits Using the Yang-Baxter Equation - Andrey Khesin, Fermi National Accelerator Laboratory
- Tushar Pandey, Oak Ridge National Laboratory
Data Science and Machine Learning (vimeo.com video) 2:30PM To Correctly Classify Imbalanced Data, Find the Best Data - K Medlin, Argonne National Laboratory
- Austin Eide, Los Alamos National Laboratory
- DJ Passey, Lawrence Berkeley National Laboratory
- Tianhao Zhang, Lawrence Berkeley National Laboratory
Closing Remarks 3:25PM