About

I am a postdoctoral researcher at the Stanford Center for Biomedical Ethics, where I study AI’s ethical, legal, and social implications. My research focuses on three key areas:

• Bias and Fairness in AI: Investigating who is vulnerable beyond protected classes (e.g., race, ethnicity) for fairness interventions in AI systems and developing new algorithmic fairness interventions.

• Diversity and Inclusion: Exploring how AI practitioners integrate and conceptualize diversity and inclusion in collaboration with Dr. Mildred Cho and Dr. Nicole Martinez-Martin.

• Ethical Implications of Healthcare AI Tools: Examining the ethical considerations surrounding healthcare AI tools utilized at Stanford Healthcare, in collaboration with Dr. Michelle Mello and Dr. Danton Char.

Before joining Stanford, I completed a postdoctoral AI and cognitive aging fellowship at Simon Fraser University. I worked on cognitive decline interventions through lifestyle activities in older adults. I also undertook a short postdoctoral fellowship at Clermont Auvergne University, contributing to developing an innovative explainable algorithm and a concept drift detection method for stream data.

test I hold a PhD in Computer Science, an MSc in Computer Science, an MEng in Applied Mathematics from Clermont Auvergne University, and a BSc in Applied Mathematics from the University of Fez. My academic journey has been recognized with several prestigious grants, awards, and distinctions, including the Mitacs Accelerate Postdoctoral Fellowship Grant and recognition as one of the top-performing Nigerien students in France in 2019.

My Resume & CV

News

• NeurIPS 2024: I presented my work on revisiting technical algorithmic fairness and participatory AI at the NeurIPS Algorithmic Fairness Through the Lens of Metrics and Evaluation Workshop.
• ASBH 2024: I presented my work on algorithmic fairness at the 25th American Society for Bioethics and Humanities Annual Conference.
• ELSICon: I co-presented a panel on “Artificial intelligence for precision medicine: How close to ‘personalized’ can we really get?” at the 6th Ethical, Legal, and Social Implications of Genomic Research Annual Meeting.
• OHBM 2023: I presented my work on AI and Cognitive Aging at the Organization for Human Brain Mapping Annual Meeting.
• June 2023: I started my postdoctoral fellowship in AI and Biomedical Ethics at the Stanford Center for Biomedical Ethics.

Teaching

I enjoy teaching and have accumulated more than 240 hours of teaching experience on diverse topics ranging from AI development to relational databases and research ethics. Moreover, my experience spans different universities, countries, and continents including Stanford University (California), the University of Clermont Auvergne (France), and the African Development University (Niger).

Stanford University, Stanford, California, USA - 34 hours

• Foundation of Bioethics, Winter 2024
• Responsible Conduct of Research, Fall 2023, Autumn 2024

African Development University, Niamey, Niger - 30 hours

• Introduction to Machine Learning, Summer 2022

University of Clermont Auvergne, Aubiere, Auvergne-Rhone Alpe, France - 184 hours

• Relational Databases, Spring 2020
• Statistics and Probability, Fall 2020
• Information Systems, Fall 2020
• Databases and Web, Fall 2020
• Relational Databases, Spring 2019
• Algorithmic, Spring 2019
• Software Engineering, Spring 2019
• Shell Programming, Spring 2018

Publications

1. Abdoul J. Mahamadou, Artem A. Trotsyuk. (2024). Revisiting Technical Bias Mitigation Strategies. ArXiv:2410.17433.
2. Abdoul J. Mahamadou, Lea Goetz, Russ B. Altman. (2024). Individual Fairness Through Reweighting and Tuning. ArXiv:2405.01711.
3. Abdoul J. Mahamadou, Emma A. Rodrigues, Vasily Vakorin, Violaine Antoine, Sylvain Moreno. (2024). Interpretable Machine Learning for Precision Cognitive Aging. Cognitive Computation. Under Review.
4. Abdoul J. Mahamadou, Aloysius Ochasi, Russ B. Altman. (2024). Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective. Preprint. ArXiv:2406.10121.
5. Abdoul J. Mahamadou, Emma A. Rodrigues*, Vasily Vakorin, Sylvain Moreno. (2023). Lifestyle Factors and Cognitive Aging: A Personalized Approach. Organization for Human Brain Mapping Annual Meeting.
6. Anne Marthe Sophie Ngo, Abdoul J. Mahamadou, Michael F. Mbouopda, Engelbert MN. (2022). DragStream: An anomaly and concept drift detector in data streams. International Conference on Data Mining IncrLearn Workshop.
7. Emma A. Rodrigues, Abdoul J. Mahamadou, Violaine Antoine, Sylvain Moreno. (2022). Profiling the Healthy Aging Population: A Machine Learning Approach. Cognitive Neuroscience Society Annual Meeting.
8. Nicolas Kerckhove et al. (2021). eDOL mHealth App and Web Platform for Self-monitoring and Medical Follow-up of Patients With Chronic Pain: Observational Feasibility Study. Journal of Medical Internet Research.
9. Abdoul J. Mahamadou, Antoine Violaine, Nguifo Engelbert Mephu, Moreno Sylvain. (2021). Apport de l’entropie pour les c-moyennes floues sur des données catégorielles. Revue des Nouvelles Technologies de l’Information.
10. Abdoul J. Mahamadou, Antoine Violaine, Nguifo Engelbert, Moreno Sylvain. (2020). Categorical fuzzy entropy c-means. IEEE International Conference on Fuzzy Systems.
11. Abdoul J. Mahamadou, Antoine Violaine, Christie Gregory, Moreno Sylvain. (2019). Evidential clustering for categorical data. International Conference on Fuzzy Systems.