Dr. Catherine Stinson
Lab Director
Queen’s National Scholar in Philosophical Implications of Artificial Intelligence
Assistant Professor in the Philosophy Department and School of Computing.
Dr. Stinson has a PhD in History & Philosophy of Science from the University of Pittsburgh, and a MSc in Computer Science from the University of Toronto. They specialize in methodology and ethics of artificial intelligence, and have published on bias in recommendation systems, psychiatric classification, explanation in Artificial Neural Networks, health data privacy, and (against) eugenic tech. Current research topics include deep learning benchmarks, adversarial examples as methodology, evaluating AI generated art, and privacy implications of large language models
Sofie Vlaad
PhD Philosophy Student
Poet in Residence
Sofie’s research is firmly rooted in both feminist philosophy and transgender studies. These twin schools of thought inform her work in ways that are both explicit and implicit. Her current project brings together philosophy of artificial intelligence, philosophy of creativity, and contemporary poetics to explore the relationship between art—broadly conceived—and Artificial Intelligence. Her research questions include: What are the poetics of AI-generated art? Is AI-generated art creative? Who should we consider to be the author of AI-generated art?
Currently Sofie is working on an article that posits trans poetics as a way of doing trans philosophy, a co-authored piece exploring how we might epistemically ground diversity projects in AI, and several creative works, including a collaborative arts project exploring queer/mad/trans/femme futures.
Tindur Sigurdarson
PhD Computing Student
Tindur Sigurdarson is a Ph.D. Student in the CREATE Cybersecurity program. His M.Sc. research focused on the potential for machine learning predictors to explain their own faults in the context of ethical and interpretable machine learning.
Research interests: Interpretable & Fair ML, ML for Cybersecurity, and Data Pruning
Alicia Cappello
PhD Cultural Studies Student
Alicia is a part-time PhD student in Cultural Studies as well as an Engineering & Science Librarian at Queen’s. Her PhD research interests focus on the intersection of artificial intelligence, privacy, ethics, and data. She has a Master of Arts in Digital Humanities and a Master of Library and Information Studies, both from the University of Alberta. As a Crazy Cat Lady, Alicia was able to incorporate her love for cats in her Master’s thesis titled, The Community-based (Virtual) Human-Animal Bond: An Exploration of the TinyKittens Online Community. She is not above trying to incorporate cats into her PhD dissertation somehow. =^..^=
Rina Khan
PhD Computing Student
Rina Faiyaz Khan is originally from Dhaka, Bangladesh. She completed her Bachelor’s in Electronic Engineering from Multimedia University in Malaysia. She then proceeded to complete her Master’s in Computing at Queen’s University, where she is now pursuing her PhD in Computing. Rina’s research interests include AI ethics, focusing on how bias impacts marginalized communities and methods of building fairer and more equitable AI models.
Veronika Grigoreva
MSc Computing Student
Veronika is a second-year Master’s student at Queens. Her BSc research focused on bias in large language models (LLMs) and the development of a Russian language bias detection dataset. She is now working on studying the privacy issues in LLMs. Veronika’s research interests cover bias and fairness in deep learning models and social effects of modern AI technology.
Weihan Xie
BSc Computing Student
I am currently an undergraduate student pursuing a degree in Computer Science at Queen’s University, with a focus on artificial intelligence. My academic interests lie in the intersection of AI and its practical applications across industries.
Lab alumni
Muhammed Yusuf Dada
MSc Computing, 2024
Muhammed’s MSc. research focused on applying model alignment techniques to study the biases, guardrail bypass, and privacy leaking tendencies of Large Language Models (LLMs). His goal was to uncover, report and analyze the risk factors in adopting and integrating LLMs as their popularity soars so that decision makers can make well-informed decisions on model choice and parameter configuration. Prior to beginning his Master’s, Muhammed worked full-time for 3 years across Software Engineering and Data Science roles applying NLP and LLM techniques (such as contextual embeddings) to industry use-cases.
Will Aitken
MASc Computer Engineering, 2024
Will graduated with a MASc in Computer Engineering. His thesis analyzed the pervasive coalescence between academia and industry in AI and specifically natural language processing (NLP). He uncovered trends of industry influence and studied the impact its growth had on the integrity and feasibility of public NLP research.
Harrison Stuart
BSc Computing, 2024
Harrison graduated with a BSc in Computing and a BAH in English Literature. During his work with our lab he was interested in how modern NLP technology may impact humanity’s relationship to language. He was assisting the lab with research concerning privacy issues in LLMs.
Malcolm Newton
BSc Computing, 2024
Malcolm completed an undergraduate thesis studying improvements to computer vision in agriculture, and the potential impact of these improvements on the lives of non-human animals. He is doing graduate work the Linguistics Department at the University of Ottawa starting in Fall 2024.
Annabelle Sauve
MSc Computing, 2023
Annabelle’s research focused on analyzing the language used in medical records when discussing mental health disorders.
Sam Baranek
MSc Computing, 2023
Sam completed a research project on the misuses of statistics in AI reinventions of phrenology.
Ernesto Lang Oreamuno
MSc Computing, 2022
My research was about software engineering in AI or SE4AI for short. I look into how software engineering practices and projects can be combined with machine learning artifacts such as datasets and models, with the intention of exploring how these elements are coalesce together into applicable business solutions.
Vanessa Ferguson
MA Philosophy, 2022
Vanessa’s research interests include bioethics, artificial intelligence (AI) ethics, Black studies, health studies and the intersections between them. Vanessa completed her MA at Queens University in the Department of Philosophy. Vanessa’s Master’s thesis explores how ideas of race, race science and racism are embedded in medicine, and how they inform health care, treatment, and health outcomes in sickle cell disease, specifically for Black populations in Canada and beyond. Vanessa’s primary motivations are to catalogue the Black patient experience in Canada, and globally in the context of anti-Black racism.
Beyond that, I have worked in software engineering in the past 5 years, using technologies such as Docker, PostgresSQL, Nginx, RabbitMQ, Google Cloud Platform and Nginx, with languages such as Java, C# and Python, also for a more of an enthusiast side I use Rust and Elixir.
Currently, my time is dedicated to massive data extraction and analysis through the use
of machine learning.
Diggory Waddle
MA Philosophy Student
Diggory conducted research into intimate relationships with artificial intelligence. His goal is to help build a future for AI relationships that is equitable and kind.