Curriculum Vitae

2025 – Present

Research Machine Learning Scientist II

Layer 6 AI · TD Bank Group  ·  Toronto, Canada

• Theoretical and applied LLM research for financial applications.
• Generative modeling, anomaly detection, and stochastic differential equations in production systems.

2024 – 2025

Software Developer

Robinhood  ·  Toronto, Canada

• Member of the Identity team: responsible for authentication and authorization of users.
• Developed and maintained backend services for the Robinhood trading platform.
• Improved performance and reliability; collaborated with frontend on new features.
• Technologies: Python, Django, PostgreSQL, Redis, Docker, Kubernetes, AWS.

2024

Sessional Lecturer

University of Toronto  ·  Toronto, Canada

• Instructed STA237: Probability, Statistics and Data Analysis I.

2019 – 2024

Graduate Research Assistant

University of Toronto  ·  Toronto, Canada

• Supervised by Dr. Dehan Kong and Dr. Zhaolei Zhang.
• Research on optimal transport and stochastic differential equations applied to single-cell RNA sequencing data.
• Focus areas: anomaly detection, generative modeling, and time series analysis.

2019 – 2024

Teaching Assistant

University of Toronto  ·  Toronto, Canada

• Undergraduate statistics courses from introductory probability to advanced multivariate statistics.
• Held tutorials as mini-lectures for undergraduate students.

2019 – 2024

Doctor of Philosophy  ·  Statistics

University of Toronto  ·  Toronto, Canada

• Research: Optimal Transport, Stochastic Differential Equations, Generative Modeling.
• Thesis: Applications of Optimal Transport and Stochastic Differential Equations in Single-Cell RNA Sequencing Data.

2015 – 2019

Bachelor of Science

University of Toronto  ·  Toronto, Canada

• Specialist: Pathobiology.
• Major: Statistics. Minor: Mathematics.