About me

I am currently a Program-Specific Researcher at Kyoto University. My research area lies in stochastic dynamics and data-driven dynamics. I am interested in building up mathematical theory and applying some mathematical methods to the problems in neuroscience and other subjects of nonlinear dynamical systems.

Experience

• Postdoc    Applied Mathematics    Kyoto University    2025 - now

Education

• Ph.D.    Applied Mathematics    University of Alberta    2021 - 2025

• M.S.    Mathematics    University of Manitoba   2018 - 2020

• B.S.    Mathematics    University of Oregon    2015 - 2017

Teaching

Winter 2025: Math 102(lab) Applied Linear Algebra

Fall 2024: Math209(Lab) Calculus for Engineering 3

Spring 2024: Math209(Lab) Calculus for Engineering 3

Winter 2024: Math 102(Lab) Applied Linear Algebra 

Fall 2023: Math 201(Lab) Differential Equations 

Spring 2024: Math 101(lab) Calculus for Engineering 2

Winter 2023: Math 201(Lab) Differential Equations 

Awards

• Faculty of Science Doctoral Dissertation Award, 2025

• Mary Louise Imrie Graduate Student Award, 2025

• Dr. Josephine M. Mitchell Recruitment Scholarship, 2021

• International Graduate Student Entrance Scholarship, 2020

• International Graduate Student Entrance Scholarship, 2018

• Clarence and Lucille Dunbar Scholarship, 2017

Research

• Reinforced Data-Driven Estimation for Spectral Properties of Koopman Semigroup in Stochastic Dynamical Systems (arXiv)

• Spectral analysis of Koopman operator through pseudo-resolvent (In preparation)

• Data-Driven Approaches for Analyzing Complex Dynamical Systems through Koopman Framework (PhD, 2025)

• A Data-Driven Framework for Koopman Semigroup Estimation in Stochastic Dynamical Systems (Accepted by Chaos)

• ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals (ICML 2025)

• Koopman Spectral Analysis Uncovers the Temporal Structure of Spontaneous Neural Event (COSYNE 2024)

• Decentralized_Multi-Agent_Reinforcement_Learning_for_Task_Offloading_Under_Uncertainty (arXiv) 

• Machine Learning With Echo State Networks (MSc, 2020)