Core Team
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Prof. Skyler Wang
FOUNDER & DIRECTOR
Skyler Wang is an Assistant Professor of Sociology at McGill University and a Research Scientist at Meta FAIR. Broadly, he is an AI sociologist who interrogates the inner workings and societal impact of sociotechnical and machine learning systems. Using mixed-methods, experiments, and STS approaches, his research critically examines the epistemic cultures of AI and human-machine interactions in health and relational contexts.
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Leo Holton
LAB MANAGER & RESEARCH ASSISTANT
Leo Holton holds a Bachelor's in Cognitive Science from McGill, with a research focus on the application of AI in online learning and healthcare contexts; this includes an honours thesis on how machine learning models help us understand medical phenomena. After graduating in 2022, he moved to Amsterdam and worked as a consultant, implementing environmental regulations in the banking sector. He's back in Montreal now, resuming his research with the SCAI Lab. He's excited to be digging into AI's impacts on labour and relationships while zooming out to social groups to understand how benefits and harms are being distributed. Outside the lab, Leo organizes phone-free community events and volunteers with urban agriculture and meal delivery organizations.
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Camille Istanboulian
RESEARCH ASSISTANT
Camille Istanboulian is a third-year undergraduate student pursuing a Joint Honours degree in Sociology and Philosophy at McGill. She is particularly interested in how human-AI interactions shape users' offline attitudes and behaviours. She has had the opportunity to nurture this interest through her work on the SCAI lab's project on human-AI companionship, as well as through her honors thesis on users' interactions with digital health and their subsequent impacts on users' orientations towards formal healthcare. Beyond the lab, Camille has been involved in policy-oriented research through McGill's Department of Equity, Ethics, and Policy, where she contributed to an ongoing project evaluating the role of law, and litigation more specifically, as a lever for social change and improved health governance.
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Alina Shimizu-Jozi
RESEARCH ASSISTANT
Alina Shimizu-Jozi completed her Bachelor's degree as a Joint-honors student in Computer Science and Biology at McGill. Her interdisciplinary degree facilitated the pursuit of her research endeavours at the intersection of AI, healthcare, and society, including her most recent project at SCAI on the effect of gender concordance in AI mental health chatbots. She has also worked on projects involving the environmental impacts of AI, AI evaluation of hospitality workplace bias, and integration methods of AI into IPV care. Alina is excited to continue her research passions while travelling, volunteering at daycares, and trying new food fusions along the way.
Collaborators
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Dr. Margaret Eby
POSTDOCTORAL FELLOW, UPENN
Margaret Eby is a medical sociologist and bioethicist whose work investigates how ethical challenges shape the development of policy and practice, from the rise of medical eugenics in the early 20th century to the growing use of AI in genomics research. Currently a Fellow in the Ethical, Legal, and Social Implications (ELSI) of Genetics and Genomics, Margaret’s research links the history of medical ethics to the present by examining how emerging genetic and genomic technologies gain legitimacy and how dissent is organized in response. Her work has been published in Social Science & Medicine, Work and Occupations, PLOS One, and Globalization and Health.
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Dr. Ned Cooper
POSTDOCTORAL FELLOW, CORNELL UNIVERSITY
Ned Cooper is a human-computer interaction researcher and lawyer. He designs and studies AI systems and their governance. His research spans participatory machine learning, speech technologies for underserved languages, AI for mental well-being, and emerging risks in large language models. Drawing on his background in strategy consulting and human rights law, he is interested in how AI systems can be designed and regulated simultaneously, treating design choices and policy guardrails as inseparable. His work has been published in CHI, FAccT, COLM, ACL, and Big Data & Society.
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Dr. Jean Maillard
RESEARCH SCIENTIST, META
Jean Maillard is a Research Scientist at Meta Fundamental AI Research (FAIR) working on open-source multilingual language technologies, including machine translation and speech recognition, with a strong focus on under-served languages. He has contributed to projects such as No Language Left Behind, the first machine translation system to surpass the 200-language barrier; Seamless Communication, a speech- and text-translation model covering 100 languages; and Omnilingual ASR, a foundational speech recognition model supporting over 1,600 languages. He earned his PhD in Natural Language Processing at the University of Cambridge under Dr Stephen Clark. Outside of work, he serves on the Council for Ligurian Linguistic Heritage, a cultural association dedicated to the preservation of his native Ligurian language.
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Dr. Onno Kampman
HEAD OF AI FOR MINDLINE.SG, SINGAPORE
Onno Kampman is an AI and cognitive scientist leading AI initiatives at mindline.sg, Singapore's national first stop touch point for mental health, at the MOH Office for Healthcare Transformation. His work explores how AI can support the scale, access, and quality of our mental health care ecosystems. Onno collaborates with a range of stakeholders to translate mental health and AI research into practice. He is an adjunct lecturer on AI in healthcare at the National University of Singapore. His work has been published in NeurIPS, ICML, ICLR, ACL, EMNLP, Imaging Neuroscience, and BMJ Open.
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Leigh Levinson
PHD CANDIDATE, INDIANA UNIVERSITY
Leigh Levinson is a PhD Candidate at Indiana University with a background in development psychology, data science, informatics, and cognitive science. She is a human-robot interaction researcher who specializes in interdisciplinary and mixed-method approaches to understanding people’s, and especially children’s, relationships with emergent technologies. Her human-centered and value-sensitive approach to the design and evaluation of technologies further promotes a critical, yet creative stance on innovation.
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David Heath
PHD STUDENT, UNIVERSITY OF MEMPHIS
David Heath is a PhD student in Experimental Psychology at the University of Memphis and holds an MA in Linguistics from the University of Montana. His research draws on psycholinguistics, linguistic anthropology, semiotics, dynamical systems, and ecological psychology to ask questions about how structural constraints in our physical and social environments influence language processing and use, interpersonal coordination, and human-AI interaction.