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
Pierre R. Lamond Department of Electrical and Computer Engineering,
Pratt School of Engineering
Recent Publications
Generalizability of Large Language Model-Based Agents: A Comprehensive Survey
Journal Article ACM Computing Surveys · February 7, 2026 Large Language Model (LLM)-based agents have recently emerged as a new paradigm that extends the capabilities of LLMs beyond text generation to dynamic interaction with external environments. A critical challenge lies in ensuri ... Full text CiteA 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 CiteEvaluating Large Language Models for Automated Clinical Abstraction in Pulmonary Embolism Registries: Performance Across Model Sizes, Versions, and Parameters
Conference Lecture Notes in Computer Science · January 1, 2026 Pulmonary embolism (PE) registries accelerate practice-improving research but depend on resource-intensive manual abstraction of radiology reports. We evaluated whether openly available large-language models (LLMs) can automate concept extraction from comp ... 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.