Bio

Quentin Loisel is a postdoctoral researcher at the Meta-Research Innovation Center at Stanford (METRICS), where his work focuses on how artificial intelligence is transforming scientific practice and how researchers can use AI to produce better, more robust, and more equitable science. His broader agenda is to help define a hybrid model of scientific inquiry that deliberately and transparently combines human judgment and artificial intelligence.

His research sits at the intersection of artificial intelligence, epistemology of science, and research systems. He studies how AI tools reshape knowledge production across the research lifecycle, from problem formulation and data analysis to writing, peer review, and governance, and examines the epistemic, methodological, and institutional consequences of human–AI collaboration in science. His work aims to move beyond risk-focused or purely technical perspectives by developing evidence-based, researcher-centric models for integrating AI into everyday scientific practice.

Before joining Stanford, he completed a Marie Skłodowska-Curie PhD on digital technologies for co-creation, combining cognitive science, collective intelligence, and participatory research. He has co-funded and is coordinating the Artificial Intelligence working group of the Marie Curie Alumni Association (MCAA), which is a researcher-driven community of practice on AI in research. He also advises a social company, called Health Cascade, on how to integrate AI in teams to solve complex societal problems.

Stanford Advisors

Contact

  • Academic
    q5loisel@stanford.edu
    University - Scholar Department: School of Medicine Position: Postdoctoral Scholar

Additional Info

Links

All Publications

  • Can digital technologies and artificial intelligence enhance co-creation in public health? A Health CASCADE needs assessment study and critical recommendations PUBLIC HEALTH Loisel, Q. A., Balaskas, G., Papadopoulos, H., Pappa, D., Chastin, S. M. 2025; 248: 105921

    Abstract

    This study aimed to assess digital technology usage in co-creation for public health, identify practitioners' technology needs and preferences, and determine key factors guiding technology choices.A structured consensus protocol was employed to engage experts with wide-ranging expertise who have applied co-creation in different areas.First, a virtual workshop with 12 experts generated statements on the current use of digital tools and the desired features for co-creation. Next, an online survey gathered additional insights from 14 practitioners. Qualitative content analysis was then conducted to categorise 123 usage statements, 91 wish statements, and 25 choice-factor statements. Finally, a consensus event validated and refined the categorisations.Communication and data handling emerged as central technologies, reflecting the need to overcome language barriers, facilitate engagement, and analyse feedback. Practitioners consistently wished for improved affordability, intuitive interfaces, and inclusive functionalities to support diverse co-creator groups. Ethical and security considerations, including GDPR compliance, were also highlighted, emphasising the importance of trust and data protection. Factors influencing technology choices ranged from cost and ease of implementation to interoperability and overall process support, underscoring the demand for user-friendly, secure, and feature-rich tools.Digital technologies, including artificial intelligence, can significantly enhance co-creation in public health by promoting inclusivity, streamlining collaboration, and supporting evidence-based decision-making. Ensuring affordability, ethical integrity, and practical usability is essential for maximising impact and fostering equitable outcomes in public health co-creation efforts.

    View details for DOI 10.1016/j.puhe.2025.105921

    View details for Web of Science ID 001567510400002

    View details for PubMedID 40896926

https://orcid.org/0000-0003-0287-3908