I am a National Science Foundation (NSF) Postdoctoral Fellow at the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology (MIT) working with Prof. Youssef Marzouk. In July 2024 I will start as an Assistant Professor in the Department of Mathematics at Virginia Tech.
Prior to joining MIT, I was a National Science Foundation (NSF) Postdoctoral Fellow (currently affiliate position) at Tufts University working with Prof. Misha Kilmer.
My research interests are on high dimensional (tensor) data analysis, regularization for inverse problems, uncertainty quantification, and machine learning. One of my main research goals is in developing computationally efficient numerical methods to solve large-scale inverse problems. Such problems arise from an extended list of applications in data science and engineering, where from limited observations collected from surface measurements and knowledge of the forward process that maps the unknown parameters onto the data, the goal is to reconstruct the unknown parameters. An example is reconstructing images from X-ray tomography data that can then be used to detect possible anomalies in medical diagnosis. Methods and algorithms that I design target applications that seek to recover millions of parameters from typically massive datasets. Those methods commonly rely on numerical linear algebra, but I also use techniques and tools from statistics, numerical optimization, machine learning, and PDEs.
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, where I worked with Profs. Benjamin Bartelle, Malena Espanol, and Shiwei Lan.
During Fall 2020 I was part of a semester long research program at SAMSI, where I worked on dynamic inverse problems, learning techniques for inverse problems, and randomized TT tensors in the working groups led by Profs. Julianne Chung and Arvind Saibaba.
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 under the supervision of Professor Lothar Reichel, and Dr. Alessandro Buccini and a Master of Science in Applied Mathematics in 2019.
Funding:
Tensor-Based Methods for Large-Scale and High-Dimensional Dynamic Inverse Problems, June 2022, 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 (funded).
Selected upcoming events and news: (For a complete list of talks, click here and for a complete of events click here).
Selected Past events:
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.