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 researchfocused 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, Researchfocused 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 DataEnabled 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

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 spatiotemporal 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

Dr. Tyson's Bio
Dr. Tyson is a Professor of Mathematics at the University of Illinois at UrbanaChampaign. 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 subRiemannian geometry. Dr. Tyson is particularly interested in notions of firstorder 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
 MPSAscend postdoctoral fellowships
 Topology

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/gabrielperdue/
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/kevinpilkiewicz/
Dr. Stefan M. Wild, Deputy Division Director/Senior Computational Mathematician
 Facility: Argonne National Laboratory
 Bio: https://www.anl.gov/profile/stefanmwild
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

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 15minute researchfocused 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 policymaking  Jimi Kim, Oak Ridge National Laboratory: Oak Ridge Leadership Computing Facility
 Oluwadamilola Fasina, Lawrence Berkeley National Laboratory
 Moyi Tian, Oak Ridge National Laboratory
 Jonah BotvinickGreenhouse, 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 mCUBES  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 Pressuredependant 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 15minute researchfocused 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 PhysicsInformed Neural Networks  Jiajing Guan, United States Army Corps of Engineers, Cold Regions Research and Engineering Laboratory
Quantum Computing (vimeo.com video) 11:05AM A statisticallyinspired 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 FluidStructure 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 YangBaxter 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