Bio

I am an assistant professor at Lehigh University in the Computer Science and Engineering Department. My research focus is in the fields of applied linear algebra, applied numerical analysis, and scientific computing; please see my research page for more information on past and current projects. I earned my PhD in math from Virginia Tech in 2021, where I studied the efficient solution of large linear systems and eigenproblems. I hold a BS and MS in math with a minor in computer science from VT, as well as a BA in sociology with a minor in education from Roanoke College. At Lehigh, I am a member of the Quantum Computing and Optimization Lab, the Scalable Systems and Software research group, Lehigh Blockchain, and the Institute for Data, Intelligent Systems, and Computation.

Important Announcements

• Prospective Graduate Students: I have one remaining opening for a PhD student to begin as early as Summer 2023. Based on steady achievement of annual objectives and goals, this position will be fully funded, with tuition reimbursement and a competitive stipend, through the completion of the degree. Candidates with a strong background or interest in one or more of the following fields are highly encouraged to apply: computational mathematics, applied linear algebra, applied numerical methods/algorithms, or optimization. Strong programming skills are preferred, and experience in high performance computing is a plus but not required. Contact me directly via email for more information or to apply.
• Students, are you interested in quantum computing? QCOL will host the 2023 Gene Golub SIAM Summer School on Quantum Computing and Optimization at Lehigh University July 30 through August 11, 2023. Application information can be found on the website. Note the deadline to apply is April 1, 2023.

Recent News

• Our paper, Analysis of GMRES for Low-Rank and Small-Norm Perturbations of the Identity Matrix, has officially published online in the Proceedings in Applied Mathematics and Mechanics (March 2023).
• Our paper, Iterated-Gauss-Seidel GMRES, was accepted for publication in the SIAM Journal on Scientific Computing and will be included in the Copper Mountain Special Section (February 2023).
• Congratulations to Sean Wang, whose 2022 REU paper, A Predictor-Corrector Method for Multi-objective Optimization in Fair Machine Learning, was accepted to the REU Symposium at the 2022 IEEE/ACM International Conference on Big Data Computing, Applications, and Technologies (October 2022).
• Our paper, Efficient Multiple Objective Optimization for Fair Misinformation Detection, was accepted as a regular paper for the 2022 IEEE International Conference on Big Data (October 2022).
• Our paper, Quantum-enhanced Regression Analysis using State-of-the-art QLSAs and QIPMs, was accepted for the IEEE/ACM 7th Symposium on Edge Computing (October 2022).

Contact Information

• arg318 AT lehigh DOT edu
• Room 314, Building C
• 113 Research Drive
• Mountaintop Campus
• Bethlehem, PA 18015
• Office phone: 610-758-6492