Curriculum Vitae

Jul 2025 – Present

Research Machine Learning Scientist II

Layer 6 AI · TD Bank Group  ·  Toronto, Canada

• AI safety — lead applied and theoretical LLM safety research with expertise in jailbreak detection, adversarial robustness, and agentic AI, translating it into safeguards for enterprise LLM systems.
• Uncertainty quantification — developed conformal prediction methods giving distribution-free, finite-sample coverage guarantees on generative and LLM outputs (ICML 2026).
• Quantitative modeling — built an ML use case for bond portfolio optimization on a $300B fixed-income portfolio.
• Ship internal and public-facing AI tools at continental scale; contribute to patents and peer-reviewed publications.

Oct 2024 – Jul 2025

Software Developer

Robinhood  ·  Toronto, Canada

• Member of the Identity team, owning authentication and authorization of users.
• Fraud & security — built authentication pipelines and ML-based fraud detection, cutting fraud losses by millions of dollars.
• ML at scale — partnered with data science to deploy large-scale image and video models across crypto, options, and securities markets; integrated LLM-powered tooling into the customer support stack.
• Systems — built and maintained low-latency, high-availability API services using Go, Python, Django, gRPC, Kubernetes, Docker, Bazel, and Jenkins.

May – Jun 2024

Sessional Lecturer

University of Toronto  ·  Toronto, Canada

• Instructed STA237 (Probability, Statistics, and Data Analysis I) to 200+ students.
• Led a team of teaching assistants, owning curriculum development.

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.