Contact Information
Bing is a graduate alumnus of the School of Computer Science at the University of Waterloo, where he completed his PhD in 2026 under the supervision of Dr. Helen Chen and Dr. Anita Layton. His doctoral thesis, Generative Synthetic Data Models for Pre-Clinical Drug Discovery, applied generative AI and diffusion models to the problem of data overlap sparsity, generating high-quality synthetic data to accelerate drug discovery research. His work also includes DELBERT, a fingerprint language model for hit discovery in DNA-encoded libraries, and SynQP, a framework for evaluating the quality and privacy risk of synthetic data.
Bing continues to collaborate with the lab as a Researcher and AI Developer at the AI Hub, Public Health Agency of Canada, where he develops LLM-based methods for automating systematic reviews of health literature and builds synthetic health data pipelines. He is also the Architect for CANVIEW, a pan-Canada eye data repository at the Waterloo Eye Institute, and a co-founder of Wat.AI, the University of Waterloo's student AI community. In 2026 he taught GenAI Techniques and Algorithms (HLTH667M) at Waterloo.
Research Interests:
- Synthetic Data
- Drug Discovery using AI
- Generative AI
- AI for Science