AWM at SIAM/CAIMS Annual Meeting 2025
Montreal, Quebec, Canada, July 28 – August 1, 2025
All Times are Eastern Daylight Time
AWM Workshop: Science of Data and Mathematics Part I
Monday, July 28, 2025
8:00 AM – 10:00 AM
Room: 516D
This minisymposium will serve as a follow-up event to the Research Collaboration Workshop “Women in Data Science and Mathematics” held at the Institute of Pure and Applied Mathematics (IPAM) in August 2023. The sessions will be part of the AWM workshop that also includes a graduate poster session, a career panel, a luncheon, and a mentoring session. This minisymposium will bring together a broad, exciting, and diverse group of researchers in the mathematics and applications of data science.
Organizer: Jamie Haddock
Harvey Mudd College, U.S.
Anna Little
University of Utah, U.S.
- 8:00-8:25 Guaranteed Sampling Flexibility for Low-Tubal-Rank Tensor Completion abstract
- Longxiu Huang, Michigan State University, U.S.
- 8:30-8:55 Application and Evaluation of a New Notion of Discrete Graph Curvature on Real-World Networks abstract
- Kasia Jankiewicz and Manasa Kesapragada, University of California, Santa Cruz, U.S.; Anna Konstorum, Institute for Defense Analyses, U.S.; Kathryn Leonard, Occidental College, U.S.; Nazia Riasat, North Dakota State University, U.S.; Michelle Snider, Institute for Defense Analyses, U.S.
- 9:00-9:25 Towards Equity in Education: A Discussion on Tools in Education Data Mining abstract
- Joana L. Perdomo, Raytheon Technologies, U.S.
- 9:30-9:55 Identification of Paths for Dynamic tTransport via Mean-field Control abstract
- Aimee Maurais, Massachusetts Institute of Technology, U.S.; Bamdad Hosseini, University of Washington, U.S.; Youssef M. Marzouk, Massachusetts Institute of Technology, U.S.
AWM-SIAM Sonia Kovalevsky Lecture: From Neurological Disorders to Additive Manufacturing: Integrating Isogeometric Analysis with Deep Learning and Digital Twins
Monday, July 28, 2025
2:45 PM – 3:30 PM
Room: 517D
Coupling physics-based simulation and data-driven modeling have demonstrated great power in predicting complex systems. This talk focuses on integrating an advanced finite element method, isogeometric analysis (IGA), with deep learning and digital twins to address challenging problems of neurological disorders and additive manufacturing (AM). First, we introduce a novel phase field model coupled with tubulin and synaptogenesis concentration to simulate intricate neurite outgrowth and disorders. By integrating IGA and convolutional neural networks, we conduct thorough investigations into the functional role of various parameters affecting the neurodevelopmental disorder with comparison to experimental results. Second, to investigate intracellular transport induced neurodegenerative disorders, we develop a PDE-constrained optimization model to simulate traffic jams induced by microtubule reduction and swirl. We also build a novel IGA-based physics-informed graph neural network to quickly predict normal and abnormal transport phenomena in complex neuron geometries. Finally, in the area of AM, our research focuses on a machine learning framework for inverse design and manufacturing of self-assembling fiber-reinforced composites in 4D printing, IGA-based topology optimization for AM of heat exchangers, as well as data-driven residual deformation prediction and lattice support structure design in the laser powder bed fusion (LPBF) AM process. Our on-going efforts aim to predict stress-induced build failures using dynamic neural surrogates, where reduced order modeling is a key technique to efficiently simulate underlying physics.
Jessica Zhang, Carnegie Mellon University, U.S.
AWM Workshop: Science of Data and Mathematics Part II
Monday, July 28, 2025
4:00 PM – 6:00 PM
Room: 516D
This minisymposium will serve as a follow-up event to the Research Collaboration Workshop “Women in Data Science and Mathematics” held at the Institute of Pure and Applied Mathematics (IPAM) in August 2023. The sessions will be part of the AWM workshop that also includes a graduate poster session, a career panel, a luncheon, and a mentoring session. This minisymposium will bring together a broad, exciting, and diverse group of researchers in the mathematics and applications of data science.
Organizer: Jamie Haddock
Harvey Mudd College, U.S.
Anna Little
University of Utah, U.S.
- – Randomized Kaczmarz Methods for T-Product Tensor Linear Systems with Factorized Operators abstract
- Karamatou Yacoubou-Djima, Wellesley College, U.S.
- – Robust Estimation of Smooth Graph Signals from Randomized Space–time Samples abstract
- Sui Tang, University of California, Santa Barbara, U.S.
- – O(k) Equivariant Dimensionality Reduction on Stiefel Manifolds abstract
- Andrew S. Lee, St. Thomas Aquinas College, U.S.; Harlin Lee, University of North Carolina at Chapel Hill, U.S.; Jose Perea, Northeastern University, U.S.; Nikolas Schonsheck, The Rockefeller University, U.S.; Madeleine Weinstein, University of Puget Sound, U.S.
- – Active Query Synthesis for Preference Learning abstract
- Namrata Nadagouda and Mark Davenport, Georgia Institute of Technology, U.S.
AWM Women in Data Science Panel: Navigating Success and Challenges
Tuesday, July 29, 2025
4:00 PM – 6:00 PM
Room: 516D
This panel brings together experts and trailblazers to discuss key topics such as professional development, mentorship, funding opportunities, and achieving a healthy work-life balance.
Chair: Jamie Haddock
Harvey Mudd College, U.S.
Anna Little
University of Utah, U.S.
- Panelists:
- Tammy Kolda
- MathSci.ai, U.S.
- Yifei Lou
- University of North Carolina at Chapel Hill, U.S.
- Ranthony Clark
- Duke University, U.S.
- Caroline Moosmueller
- University of North Carolina, Chapel Hill, U.S.
AWM Poster Session: Women in the Science of Data and Mathematics
Tuesday, July 29, 2025
8:00 PM – 10:00 PM
Room: 517B
This minisympposterium will serve as a follow-up event to the Research Collaboration Workshop “Women in Data Science and Mathematics” held at the Institute of Pure and Applied Mathematics (IPAM) in August 2023. The poster session will be part of the AWM workshop that also includes minisymposiums, a career panel, a luncheon, and a mentoring session. This minisymposterium will bring together a broad, exciting, and diverse group of researchers in the mathematics and applications of data science.
Chair: Jamie Haddock
Harvey Mudd College, U.S.
Anna Little
University of Utah, U.S.
- – Modeling the Effect of Vector Control on the Host Population in the Eradication of Malaria abstract
- Patricia O. Azike, Boise State University, U.S.; Joel Ndam, University of Jos, Nigeria
- – Applying Acceleration to Krylov Subspace Eigenvalue Solvers abstract
- Michelle Baker, University of Florida, U.S.
- – Bose Tba abstract
- Dipanwita Bose, University of Houston, U.S.
- – Oxidative Stress Management in the Liver: Elucidating Sex Differences and Disease Pathologies abstract
- Allison Cruikshank, Duke University, U.S.
- – Monte Carlo Simulations to Model Flux Decline in Dead-End Microfiltration Operations abstract
- Abigail R. Drumm and Francesca Bernardi, Worcester Polytechnic Institute, U.S.
- – Adaptive Parameter Selection in Nudging Based Data Assimilation abstract
- Rui Fang, University of Pittsburgh, U.S.; Aytekin Çibik, Eskisehir Osmangazi University, Turkey; Farjana Siddiqua, Georgia Institute of Technology, U.S.; William Layton, University of Pittsburgh, U.S.
- – DDA: An R Package for Learning Causal Structures in Observational Data Using Direction Dependence Analysis abstract
- Megan J. Hirni, University of Missouri, U.S.; Wolfgang Wiedermann, University of Missouri, Columbia, U.S.
- – Modeling Metastatic Cancer Treatment with Neoantigen Peptide Vaccine abstract
- Jessica Kingsley, University of Tennessee, Knoxville, U.S.
- – The Effects of Air Pollution on Health: A Longitudinal Study of Los Angeles County Accounting for Measurement Error abstract
- Yanfei Qu, McGill University, Canada
- – Evaluating Probabilistic and Data-driven Inference Models for Fiber-coupled NV-diamond Temperature Sensors abstract
- Shraddha Rajpal, George Mason University, U.S.
- – Joint Denoising and Sparse Identification for Nonlinear Dynamical Systems abstract
- Alexa Shreeve and Nathan Cahill, Rochester Institute of Technology, U.S.
- – Data Assimilation with Model Errors abstract
- Farjana Siddiqua, Georgia Institute of Technology, U.S.
- – Mathematical Models of Ovulation: A Parameter Sensitivity Analysis abstract
- Savannah Williams, Bryn Mawr College, U.S.
- – Persistent Directed Flag Laplacian (PDFL)-Based Machine Learning for Protein–Ligand Binding Affinity Prediction abstract
- Mushal Zia, Michigan State University, U.S.
The AWM 2025 SIAM Organizing Committee
A special thanks to the AWM committee members who have helped organize this year’s program:
Heather Zinn Brooks, Harvey Mudd College
Jamie Haddock (Chair), Harvey Mudd College
Lakeshia Legette Jones, Clark Atlanta University
Fengyan Li, Rensselaer Polytechnic Institute
Anna Little, University of Utah
Anna Zemlyanova, Kansas State University
Thanks to Our Sponsors
Many committed AWM volunteers made this event possible. Poster presenters are sponsored by the Mathematical Sciences Institutes Diversity Committee to attend a workshop at one of the Mathematical Sciences Institutes.
