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
A Comprehensive Survey on Data Augmentation
Journal Article IEEE Transactions on Knowledge and Data Engineering · January 1, 2026 Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can achieve significantly improved applicability in tasks involving scarce o ... Full text CiteA comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT
Journal Article International Journal of Machine Learning and Cybernetics · December 1, 2025 Pretrained Foundation Models (PFMs) are regarded as the foundation for various downstream tasks across different data modalities. A PFM (e.g., BERT, ChatGPT, GPT-4) is trained on large-scale data, providing a solid parameter initialization for a wide range ... Full text CiteDomain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Journal Article ACM Computing Surveys · October 6, 2025 Large language models (LLMs) have significantly advanced the field of natural language processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of applications. However, directly applying LLMs to solve sophisticated problems i ... 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.