Ginel Dorleon

Ginel holds a Ph.D. from Paul Sabatier University in Toulouse, where he specialized in applying AI techniques to mitigate data bias in health decision-making systems. His research spans several key areas, including Machine Learning, AI for Healthcare, Explainable AI, Data Bias, and Algorithm Fairness. With a strong focus on ensuring ethical AI practices, he is dedicated to developing transparent and fair algorithms that enhance the accuracy and fairness of healthcare decisions.