Department of Mathematics (0123)
460 McBryde Hall, Virginia Tech
225 Stanger Street
Blacksburg, VA 24061-1026, USAEmbedded Files
Mirjeta Pasha, Ph.D.Assistant Professor
Since July 2024 I have been an Assistant Professor (tenure-track) of Data and High Performance Computational Mathematics in the Department of Mathematics at Virginia Tech (VT). My appointment also includes an affiliation in the CMDA program and the Academy of Data Science.
I held a Research Fellow position at ICERM (Brown University) in Spring 2026.
Before joining VT, I was a National Science Foundation (NSF) Postdoctoral Fellow at the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology (MIT) hosted by Prof. Youssef Marzouk and a National Science Foundation (NSF) Postdoctoral Fellow at Tufts University hosted by Prof. Misha Kilmer.
My research develops scalable algorithms at the intersection of inverse problems, tensor methods, uncertainty quantification, and machine learning. Grounded in numerical linear algebra, optimization, and statistics, I design structure-exploiting frameworks to recover complex parameters from limited, noisy, or indirect observations. By leveraging low-rank tensor representations, my work circumvents the curse of dimensionality enabling both efficient parameter estimation and model compression. Overall, I am interested in developing robust, uncertainty-aware computational tools for large-scale data science, scientific ML, and foundation model architectures.
From August 2020 to May 2022, I was a departmental Postdoctoral Scholar at the School of Mathematical and Statistical Sciences at Arizona State University, Tempe, Arizona, USA.
During Fall 2020 I was part of a semester long research program at SAMSI.
Prior to joining ASU, for a semester, I was a Visiting Assistant Professor at John Carroll University in Cleveland, Ohio, USA.
I received a Ph.D. in Applied Mathematics at Kent State University in 2020.
Funding:
Memory-aware Accelerated Solvers for Nonlinear Problems in High Dimensional Imaging Applications (PI), July 2024 - June 2027
Source of funding: National Science Foundation, Amount: $325 000.
27th Conference of the International Linear Algebra Society conference funds for Linear Algebra on the Blue Ridge: Panoramas of Theory and Application (PI), May 2026 - April 2027.
Source of funding: National Science Foundation, Amount: $25 000.
Tensor-Based Methods for Large-Scale and High-Dimensional Dynamic Inverse Problems (PI), June 2022 - July 2024
Source of funding: National Science Foundation, Amount: $150 000.
Mathematical Methods in Data Analysis and Imaging, Co-PI, March 2021, Source of funding: CIMPA School Project Proposal, Amount: $12 000.
Recent News:
10/2026: Accepted to SISC (SIAM Journal of Scientific Computing): Efficient Sketching-Based Summation of Tucker Tensors. with Smith, Rudi, Mirjeta Pasha, Andrés Galindo-Olarte, Hussam Al Daas, Grey Ballard, Joseph Nakao, Jing-Mei Qiu, and William Taitano.
10/2026: Very excited to be on the editorial board of ETNA (Electronic Transactions of Numerical Analysis)
We are organizing the 27th Conference of the International Linear Algebra Society -- Linear Algebra on the Blue Ridge: Panoramas of Theory and Application at Virginia Tech, Blacksburg, VA, May 18-22 2026.
02/2026: Our paper (undergraduate lead) Hybrid ABBA-GMRES for Unmatched Backprojectors in Large Scale X-Ray Computerized Tomography is on Arxiv.
01/2026: Our paper A Scalable Sequential Framework for Dynamic Inverse Problems via Model Parameter Estimation with Aryeh Keating is available on Arxiv.
08/2025: Our paper A Nodal Discontinuous Galerkin Method with Low-Rank Velocity Space Representation for the Multi-Scale BGK Model with Andres Galindo-Olarte, Joseph Nakao, Mirjeta Pasha, Jing-Mei Qiu, William Taitano is available on Arxiv.
05/2025: Our paper Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems with Jonathan Lindbloom, Jan Glaubitz, and Youssef Marzouk is available on Arxiv.
01/2025: Our paper Efficient Dynamic Image Reconstruction with motion estimation with Toluwani Okunola, Misha Kilmer, and Melina Freitag is now on Arxiv.
01/2025: Our paper Projected iterated Tikhonov in general form with adaptive choice of the regularization parameter with Alessandro Buccini, Silvia Gazzola, Luke Onisk, and Lothar Reichel is now submitted to Numerical Algorithms.
12/2024: Our paper Krylov Subspace Based FISTA‐Type Methods for Linear Discrete Ill‐Posed Problems with Alessandro Buccini, Fei Chen, and Lothar Reichel is published to Numerical Linear Algebra with Applications.
07/2024: Our paper for the python package TRIPs-Py: Techniques for Regularization of Inverse Problmes in Python is accepted in the Numerical Algorithms Journal.
05/2024: New funding secured from NSF on the collaborative grant DMS 2410699: Memory-aware Accelerated Solvers for Nonlinear Problems in High Dimensional Imaging Applications.
04/2024: I was selected as a READ fellow. With my collaborators we will work on Big Data on Journalism and Communication.
03/2024: Very excited to be on the Editorial Board of Applied Mathematics for Modern Challenges.
02/2024: Our python package TRIPs-Py: Techniques for Regularization of Inverse Problmes in Python has been submitted.
Selected Past events:
Co-organized with Tan Bui-Thanh, Julianne Chung, Joseph Hart, Youssef Marzouk, Daniel Sanz-Alonso, and Erkki Somersalo the workshop ``Bayesian Inverse Problems and UQ" at ICERM, March 2-6, 2026.
Co-organized with Fioralba Cakoni and Aida Maraj the Summer School "Mathematical Methods in Data Analysis", @University of Tirana, Albania, July 18-30, 2022.
Co-organized with Alessandro Buccini, Marco Donatelli, Giuseppe Rodriguez, and Miodrag Spalevic the conference ``NMLSP 2022: Numerical Methods for Large Scale Problems", Belgrade, June 6th - 10th, 2022.
Co-organized with Alessandro Buccini, Marco Donatelli, Giuseppe Rodriguez, and Miodrag Spalevic the summer school ``Recent Advances in Computational and Learning Methods for Inverse Problems ", on July 11-15, 2022, in Cagliari, Italy.
Co-organized with Emille Lawrence, Malena Espanol, Lauren Rose, Magdalena Luca, and Georgia Benkart the monthly "We Speak: Inspiring Women in Math Speaker Series" in honor of AWM’s 50th Anniversary, 2021.
Co-organized with Biji Wong We Speak! Lightning talks by early-career women mathematicians, September 2021.
Page updated
Google Sites
Report abuse