Dr. Bubacarr Bah holds the German Research Chair of Mathematics with specialization in Data Science. His research focuses on the mathematical foundations of data science, including compressed sensing, machine learning, and high-dimensional data analysis.
As a leading researcher at the intersection of mathematics and data science, Dr. Bah develops innovative mathematical approaches to address challenges in data analysis and machine learning, with applications ranging from renewable energy to health informatics.
He supervises multiple postgraduate students working on diverse research topics, including deep learning applications in renewable energy and data-driven approaches to identifying anomalies in African disease data. Through his research and mentoring activities, Dr. Bah contributes significantly to building capacity in mathematical data science and its applications to pressing societal challenges.