Summary
Shun Chi is a Senior ML Applied Scientist with 11 years of experience combining a PhD in condensed matter physics and postdoctoral research with production ML at Microsoft and Square. He specializes in deep learning for time-series modalities—text, trajectories, and video—applied to problems like semantic search, QA, risk/fraud detection, novelty detection, and deepfake detection. His background in quantum physics has driven strong signal-recovery and algorithm-optimization skills, enabling heavy simulations and robust modeling that once reduced cluster-scale workloads to single-desktop runs. At MDA he led cross-lingual transformer work and built multimodal social media intelligence pipelines, while at Square he deployed tree-based and deep models for risk. He values research-driven, practical solutions that use AI to improve situational awareness and make measurable positive impact. Based in Burnaby, BC, he blends academic rigor with production ML delivery across enterprise and research settings.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Condensed Matter and Materials Physics, Doctor of Philosophy (Ph.D.), Condensed Matter and Materials Physics at The University of British Columbia
Bachelor of Science (B.S.), Physics, GPA 1st/88, Bachelor of Science (B.S.), Physics, GPA 1st/88 at Zhejiang University
English, Chinese