About me
I am deeply immersed in a diverse range of research interests, including responsible artificial intelligence, natural language processing, legal artificial intelligence, interpretability, and machine learning. I have published in top AI/NLP venues (ACL, EMNLP, AAAI), and journals such as JMIR. I completed my PhD under the supervision of Prof. Xiaodan Zhu at Queen’s University, where I am now an Adjunct Professor.
Currently, I serve as a founding member and Lead Research Scientist at OpenJustice.ai, a pioneering initiative described here, where I collaborate closely with Prof. Samuel Dahan from the Faculty of Law at Queen’s University. OpenJustice is at the forefront of establishing a legal consortium aimed at sharing knowledge and enhancing access to justice.
In addition to my work at Queen’s University, I am a Researcher at the Vector Institute of Artificial Intelligence.
I have worked at Thomson Reuters Labs in Toronto, and Rakuten Institute of Technology (Rakuten Institute of Technology). I have also completed a Mitacs Accelerate Entrepreneur internship with the Innovation Boost Zone, Toronto. Earlier, I was a Google Summer of Code contributor.
Beyond research, I actively mentor students, contribute to prototype development, and collaborate with legal professionals and students to tailor AI solutions to industry needs.
News
18 April, 2024Our Paper titled "Evaluating AI for Law: Bridging the Gap with Open-Source Solutions." won the best paper award at the 4th Machine Lawyering Conference.
13 February, 2024Successfully defended my PhD Thesis titled "Natural Language Processing for Justifiable Legal Practitioner Assistance."
6 December 2023Our paper "Using Social Media to Help Understand Long COVID Patient-Reported Health Outcomes: A Natural Language Processing Approach" has been published in Journal of Medical Internet Research.