I am currently completing my Master’s degree in Applied Mathematics at the University of Alberta under the supervision of Dr. Hao Wang, with an expected graduation in June 2026. I plan to begin my PhD studies the following fall. During my time at the University of Alberta, I have taken on a range of roles, from student athlete to research assistant, and have worked on a variety of research projects spanning plasma physics, ecology, environmental science, physical risk assessment, and operations research.

These diverse experiences have allowed me to develop and apply skills in supervised and reinforcement learning, data science, mathematical and statistical modeling, algorithm and software development, proposal and publication writing, and team leadership. Through these experiences, I have discovered a strong passion for research and development, particularly in using technical tools and skills to solve problems and enable discovery. I’ve be fortunate to have had the opportunity to apply these skills in both academic and industry settings to drive meaningful and impactful outcomes.

My current work focuses on problems at the intersection of machine learning, data science, operations research, and software development. Broadly, my research interests include:

• Developing models, algorithms, and software to enable discovery and problem solving in science and industry

• Supervised and reinforcement learning, both applied and theoretical

• Big data analytics and mining

• High performance and parallel computing for large scale simulation, data processing, and machine learning