Research Interests

Responsible Artificial Intelligence, Explainability, Legal Artificial Intelligence, High-Stakes Decision Making, Machine Learning, Natural Language Processing, Large Language Models (LLMs), Parameter-Efficient Fine Tuning (PEFT), Multi-Agent Systems

Awards

• Mitacs Accelerate Entrepreneur Award (2021)
• Digital Research Alliance of Canada Computing Award, Main Applicant (2023)
• Best Paper Award, The 4th Machine Lawyering Conference (2024)
• Google Gemini Computing Award, Main Applicant (2024)

Select Projects

OpenJustice.ai: A pioneering initiative where I collaborate closely with Professor Samuel Dahan from the Faculty of Law at Queen’s University. OpenJustice is at the forefront of legal AI by establishing a consortium aimed at sharing knowledge and enhancing access to justice. This role involves practical engineering components, discussions with stakeholders, and research resulting in the best paper award from The Machine Lawyering Conference.

MyOpenCourt MyOpenCourt facilitates dispute resolution by analyzing thousands of past legal cases to predict an acceptable outcome determined by legal professionals. We have deployed data-driven machine learning models embedded within tools to improve access to justice.

Lab2Market: Involved in leading a team while obtaining mentor support from established entrepreneurs. Outcomes of this role have been in facilitating potential collaborations with industry partners and realization of commercialization potential of our research. Received $15, 000 (CAD) from Mitacs and funding partner Incubate Innovate Network of Canada (I-INC) towards these efforts.

Google Summer of Code: Successfully integrated a code linter in several existing text editors and IDEs for an open-source organization (coala.io). Received $7, 500 (CAD) from Google towards these efforts.