
Abdoul Jalil Djiberou Mahamadou
Postdoctoral Scholar, Biomedical Ethics
Bio
Abdoul Jalil Djiberou Mahamadou is a postdoctoral fellow at the Center for Biomedical Ethics working on the identification of ethical, social, and legal considerations arising in the context of AI in healthcare. Particularly, his research focuses on algorithmic bias and fairness and context-sensitive sociotechnical AI risk evaluation. Prior to his appointment at Stanford, Dr. Djiberou completed a Mitacs Industrial Postdoctoral Fellowship at Simon Fraser University, where he worked on the identification of lifestyle factors contributing to successful cognitive aging in older adults’ populations using machine learning techniques. He holds a Ph.D. and an M.Sc. in Computer Science and an M.Eng. in Applied Mathematics from Université Clermont Auvergne and a B.Sc. in Applied Mathematics from Sidi Mohamed Ben Abdellah University. His Ph.D. dissertation focused on the development of new unsupervised machine learning models and their applications to health data mining. In 2019, Dr. Djiberou was named the best Nigerien student in France based on academic performance by the Réseau des Etudiants Nigériens de France.
Honors & Awards
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Mitacs Accelerate Industrial Posdoctoral Fellow Grant, Mitacs (2022)
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Start-up funding, eTakara Niger and IsDB (2019, 2021)
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Best Nigerien Student in France, Réseau des Etudiants Nigériens de France (2019)
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Ph.D. Funding, French National Agency of Research (2018)
Professional Education
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Ph.D., University of Clermont Auvergne, Computer Science (2021)
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M.Sc, University of Clermont Auvergne, Computer Science (2018)
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M.Eng, University of Clermont Auvergne, Applied Mathematics (2018)
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B.Sc, Sidi Mohamed Ben Abdellah University, Applied Mathematics (2015)
Current Research and Scholarly Interests
Identify ethical, legal, and social considerations arising in the context of AI in the drug discovery process.