Overview
Data science, data mining, databases, information retrieval, computational statistics, applied machine learning and AI.
Current Appointments & Affiliations
Arthur S. Pearse Distinguished Professor of Computer Science
·
2023 - Present
Computer Science,
Trinity College of Arts & Sciences
Professor of Computer Science
·
2023 - Present
Computer Science,
Trinity College of Arts & Sciences
Chair of the Department of Computer Science
·
2023 - Present
Computer Science,
Trinity College of Arts & Sciences
Professor of Biostatistics & Bioinformatics
·
2023 - Present
Biostatistics & Bioinformatics, Division of Biostatistics,
Biostatistics & Bioinformatics
Professor of Electrical and Computer Engineering
·
2023 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Recent Publications
The 2nd Workshop on Large Language Models for E-Commerce
Conference Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · August 3, 2025 Large Language Models (LLMs) are revolutionizing E-Commerce by enabling product recommendation, search, classification, question answering, and advertising applications. Their increasing adoption in real-world systems underscores their potential; however, ... Full text CiteAI4DE: The 1st International Workshop on AI for Data Editing
Conference Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · August 3, 2025 Machine learning traditionally emphasizes developing models for given datasets, but real-world data is often messy, making model improvement insufficient for enhancing performance. AI for data editing (AI4DE) is an emerging field that systematically improv ... Full text CiteA Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness
Conference Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · August 3, 2025 Large language models (LLMs) based on Transformer architecture are powerful but face challenges with deployment, inference latency, and costly fine-tuning. These limitations highlight the emerging potential of small language models (SLMs), which can either ... Full text CiteRecent Grants
Collaborative Research: AI Tools to Knowledge Discovery and Rigorous Reasoning in Polyhedral Geometry
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2024 - 2027EAGER: End-to-End Learning of Paradoxes and Interpretations for Data Storytelling
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2023 - 2024View All Grants
Education, Training & Certifications
Simon Fraser University ·
2002
Ph.D.