Talks and Presentations
Contributed Talks
2026 - 5: "What makes a Good Preconditioner for Data Science?", Preconditioning techniques for scientific and industrial applications, ICMS, Edinburgh, Scotland, UK, 2026. [pdf ]
2026 - 5: "Block Subset Selection based on Randomized QR with Column Pivoting: A Tensor Product Framework", 27th Conference of the International Linear Algebra Society, Virginia Tech, 2026. [pdf ]
2026 - 4: "What Makes a Good Preconditioner for Data Science?", Southeast Applied and Computational Math Student Workshop, Emory University, 2026.
2025 - 3: "Preconditioning Stochastic Gradient Descent: Theoretical Guarantees and Novel Frameworks", Atlanta SIAM Student Conference, Georgia Institute of Technology, 2025.
2023 - 11: "Constructing Hierarchical Matrices through Recursive Tensor Decompositions", Conference on Fast Direct Solvers, Purdue University, 2023. [pdf ]
2023 - 01: "Discovering Hierarchical Matrix Structure Through Recursive Tensor Decomposition", SIAM mini-symposium on Numerical Linear Algebra, Joint Mathematics Meetings 2023. [pdf ]
Poster Talks
2025 - 08: "Accelerating Multigrid Prolongation via Bipartite Graph Attention Networks" Lawrence Livermore National Lab, Summer Student Showcase, Livermore, CA, 2025 [pdf ]
2025 - 2: "Fisher-informed Nonlinear Truncated Generalized Conjugate Residual Optimizer" Georgia Scientific Computing Symposium, Atlanta GA, 2025 [pdf ]
2024 - 10: "Acceleration Methods for Scientific and Data Science Applications" SIAM Mathematics of Data Science, MDS, Atlanta GA, 2024 [pdf ]
2024 - 08: "Quantized Tensor Trains for Solving Maxwell's Equations with Spectral Methods" Lawrence Berkeley National Lab Computing Sciences Poster Session, Berkeley, CA, 2024 [pdf ]
Student Seminars
2026 - 02: UMN NA Seminar - Generalizable Preconditioners [pdf ]
2025 - 11: UMN NA Seminar - Introduction to RMT [pdf ]
2025 - 02: DISC - SpecQTT [pdf ]
2024 - 04: RANT - Haar Measure Notes [pdf ]
2023 - 10: DISC - Hierarchical Matrices [pdf ]
2022 - 09: "It's Tensor Time!", Tufts University Monday Math Meeting . [pdf ]
2022 - 04: Quantum Computing Reading Group Ch. 7 notes [pdf ]
2022 - 02: Quantum Computing Reading Group Ch. 5 notes [pdf ]
Class Presentations
2024 - 12: On the Spectrum of Beta and Dirichlet Random Matrices: With Applications to Compressed Sensing [pdf ]
2023 - 10: Numerical Optimization Presentation for BFGS Algorithm [pdf ]
Poster Presentation, Berkeley Lab, Berkeley, CA, Aug. 2024
