I am a postdoctoral fellow in mathematics at the University of Calgary. My research background is mainly in complex analysis, harmonic analysis, operator theory, and related areas of applied mathematics. I completed my PhD at Laval University, after earlier studies at Texas A&M University and the University of Colombo. In addition to my theoretical work, I have been developing interests in data science, machine learning, numerical methods, and mathematical optimization.

Through M2PI, I am working as a team leader on the Qavis Inc. project, which focuses on mathematical optimization, hybrid quantum–AI methods, and job-shop scheduling. I am interested in bringing rigorous mathematical formulation, algorithmic thinking, and computational experience to industry-facing problems. I have also taught a wide range of mathematics courses in Canada and the United States, and I enjoy collaborative work that connects mathematical ideas with practical applications.