Research
Exploring the intersection of artificial intelligence, robotics, and human behavior through computational approaches. My research focuses on developing adaptive systems that can learn, reason, and interact effectively in complex environments.
Adaptive Motion Planning for Humanoid Robots
MOCCA Lab, UBC Computer Science · Dr. Michiel Van de Panne
Developing robust control policies for humanoid robots to navigate challenging terrains using deep reinforcement learning techniques.
ContagionRL: A Flexible Platform for Learning in Different Spatial Epidemic Environments
UBC Mathematics & Computer Science · Dr. Daniel Coombs
ContagionRL simulates human behavioral responses during epidemics using reinforcement learning, combining a spatial SIRS disease model with single-agent RL.
Entrepreneurship Education Research
UBC Computer Science and Sauder School of Business · Dr. Angele Beausoleil
An NLP-based system that automatically analyzes and maps entrepreneurship education programs and course syllabi against defined competency frameworks using zero-shot classification.
Monte Carlo Protein Engineering: Conformational Optimization and Systematic Mutagenesis Analysis
UBC Life Sciences Institute (LSI) · Dr. Steven Halem
A Monte Carlo protein optimization system that uses PyRosetta to systematically explore protein conformations and evaluate single amino acid mutations for enhanced stability and functionality.