Ansaf Salleb-Aouissi

Salleb-Aouissi’s specific and recent research interest is interdisciplinary and consists in leveraging advanced machine learning methods and large amounts of data to study medical problems, such as premature birth and infantile colic. Salleb-Aouissi cares about education and works toward advancing research on online self-learning and building advanced tools for auto-grading, self-testing, and providing support to students in computer science and mathematics. She has published several peer-reviewed papers in top quality venues including JMLR, TPAMI, ECML, PKDD, COLT, IJCAI, ECAI and AISTAT.

Salleb-Aouissi joined the Department of Computer Science as a lecturer in discipline in July 2015. She received her PhD in computer science from University of Orleans, France in 2003, after which she pursued her training as a postdoctoral fellow at INRIA, Rennes (France). She was appointed as an associate research scientist at the Columbia University’s Center for Computational Learning Systems in 2006 and served as an adjunct professor with the Computer Science Department and the Data Science Institute in 2014 and 2015.