
I am a PhD-track MSc student in Computer Science at the University of British Columbia (UBC). I am supervised by Dr. Frank Wood at PLAI.
I work on World Action Models (WAMs), primarily DiT-based video and action policies, focusing on making joint generation more robust through compute-efficient methods (see WAM-Mini). I also have ongoing projects in test time adaptation, real-time anomaly detection, and browser-use agents, the last funded through MITACS by Layer6 (TD Bank).
I previously earned a Bachelor of Commerce from Concordia University, then spent two years in marketing at Sid Lee.
WAM-Mini: A Fully Configurable Causal Environment for Training Local World Action Models
Christopher Tardy, Frank Wood
2nd UBC CSSRC, 2026
[pdf] [slides]
PLAICraft: Large-Scale Time-Aligned Vision-Speech-Action Dataset for Embodied AI
Yingchen He, Christian D. Weilbach, Martyna E. Wojciechowska, Yuxuan Zhang, Frank Wood (Acknowledgement)
[site] [link]

Directed study under Dr. Frank Wood, UBC. Wraps the NICE DCV Web Client SDK for remote classroom and lab sessions, streaming inputs to S3 for scalable AI training data capture.

A 2D adventure game that teaches Git basics.
Winner, BCS Hacks 2025
Just In Time, Casually Explained
CPSC 532A: World Models & Artificial Intelligence, UBC (Kelsey Allen), November 2026
Paper: “Just in Time” World Modeling Supports Human Planning and Reasoning, Tony Chen et al., 2026
[slides]
ETA, Casually Explained
CPSC 532X: Test Time Adaptation + Adaptive Computation, UBC (Evan Shelhamer), October 2026
Paper: Efficient Test-Time Model Adaptation without Forgetting, Shuaicheng Niu et al., 2022
[slides]
Training on test data isn’t cheating
PLAI reading group, September 2026
Paper: Test-Time Training with Self-Supervision for Generalization under Distribution Shifts, Yu Sun et al., 2019
[slides]
Mitacs Accelerate Fellowship, Layer 6 (TD Bank), 2026
Science Undergraduate Research Experience (SURE) Award, UBC, 2026
AML-TN Undergraduate Research Award (NSERC CREATE), 2026
Patrick Prefontaine Scholarship in International Business, 2022