Séamus Ryan
Seamus is a User Experience Researcher, focused on the practical steps that need to be taken to make AI fairer and more ethical.
An experienced project manager with a Computer Science background and a Masters in CyberPsychology, in the last 10 years he has worked as an Agile coach, Scrum master, and Strategic Adviser in a variety of companies and industries.
He is currently doing a PhD in Trinity in Design and Mental Health, supervised by Gavin Doherty and funded by the ADVANCE-CRT.
Sometimes he talks in the third-person.
Research Interests - Clinical Tech, Mental Health, Fairness, Emotions, Machine learning, Weird datasets.
Academic History
PhD Student 2019 - 2023
Trinity College, Ireland
PhD focused on Practical Fairness for Machine Learning in Clinical tech
Postgraduate Certificate in Statistics - 2021
Trinity College, Ireland
Experiment design, Quantitive analysis, R
Masters of Science in CyberPsychology 2017 - 2019
IADT, Dún Laoghaire, Ireland
Thesis focused on Psycholinguistics and Prosocial behaviour
Bachelor of Science in Computer Systems 2006 - 2010
University of Limerick, Ireland
Final Year Project focused on Genetic Algorithms
Work History
Software Development Engineer - PhD Intern - Amazon 2022
Software developer on the Amazon CloudWatch team
Engineering Project Manager - Consultant - Toptal 2017 - 2021
Project management consultancy work as an Agile Coach and Scrum Master
Engineering Project Manager - Microsoft Seattle 2014 - 2017
Agile Coach and Scrum Master for the Field Application Simplification and Management team
Software Development Engineer - Microsoft Ireland 2010 - 2014
C# and SQL engineering supporting tools including the Volume Licensing system
GAME DEVELOPMENT AND AI COMPONENTS
Séamus releases games and Artificial Intelligence components under the Ugliest Horse Studio brand. His work is done primarily using the Unreal Engine.
Publications -
Peer Reviewed -
Beyond the Metal Flesh: Understanding the Intersection between Bio- and AI Ethics for Robotics in Healthcare.
Boch, A., Ryan, S., Kriebitz, A., Amugongo, L. M., & Lütge, C. (2023). Robotics
Integrating fairness in the software design process: An interview study with HCI and ML experts
Ryan, S., Nadal, C,. & Doherty, G. (2023). IEEE Access
Perceived Fairness Concerns in the Adoption of Pandemic Response Technology
Ryan, S., Nurgalieva, L., & Doherty, G. (2022). Interacting with Computers
Public views on COVID-19 digital immunity certificates: a mixed-methods user study
Nurgalieva, L., Ryan, S., Balaskas, A., & Doherty, G. (2022). in Proceedings of CHI ’21
Attitudes towards COVID-19 contact tracing apps: a cross-national survey
Nurgalieva, L., Ryan, S., & Doherty, G. (2021). IEEE Access
“Lock, Load, n’ Thank the Driver”: The Positive Influence of Prosocial Activity on Language in Online Social Groups
Ryan, S., & McDonnell, D. (2020). Social Media + Society
Conference Workshop Papers -
Fairness Policy for Machine Learning within Digital Health Apps.
Ryan, S., Mann, A., & Doherty, G. (2023) In Proceedings of CHI ’23 Workshop: Designing Technology and Policy Simultaneously: Towards A Research Agenda and New Practice (CHI ’23)
We Care (Robots): Ethical Perspective on the Use of Social Robots in Healthcare.
Bosh, A,. Ryan, S,. Kriebitz, A,. & Amugongo, L. (2023). In Proceedings CONCATENATE workshop
Contextual Design Considerations for Fairer Machine Learning in Digital Health Informatics.
Ryan, S., & Doherty, G. (2022). In Proceedings of CHI ’22 Workshop: Grand Challenges for Personal Informatics and AI (CHI ’22)
Fairness Definitions for Digital Mental Health Applications.
Ryan, S., & Doherty, G. (2021). In Proceedings of W35: Realizing AI in Healthcare: Challenges Appearing in the Wild (CHI ’21)
Grey literature -
Creating realistic Swarms - Boid Movement - 2018 - Gamasutra Featured Post
Cloud Offering Provides Modern, Mobile Conference Experience - 2014 - Microsoft IT Showcase
Cloud Powered Modern Applications Increase IT Showcase Content Discoverability - 2014 - Microsoft IT Showcase
Software -
Reddit Data Reader for Psychology linguistic analysis - GitHub
Boid Crowd Avoidance for the Unreal Engine - For Sale here
Ahead based Movement for the Unreal Engine - For Sale here