Ansaf Salleb-Aouissi

Lecturer Computer Science Department - Columbia University

Biography

Ansaf Salleb-Aouissi 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. She is the instructor of the Columbia University AI Micromasters on EdX that attracted over 225,000 learners from around the world since January 2017. Her research interests lie in machine learning and data science. She has done research on frequent patterns mining, rule learning, and action recommendation and has worked on data science projects including geographic information systems and machine learning for the power grid. Her current research interest includes crowd sourcing, medical informatics and educational data mining. Ansaf has published several peer-reviewed papers in top quality venues including JMLR, TPAMI, ECML, PKDD, COLT, IJCAI, ECAI and AISTAT. She has received a National Science Foundation award to study preterm birth and a provost award to build MOOC chatbot. Previously Ansaf worked at CCLS Columbia University Center for Computational Learning systems. She has published several paper in peered reviewed journal on topics data mining, and machine Learning. Dr. Salleb-Aouissi received a National Science Foundation award to study preterm birth and a provost award to build MOOC chatbot. She was named one of the EAAI 2018 New and Future AI Educators. Ansaf received her PhD in Computer Science from University of Orleans, France in 2003 on Dissertation titled “Mining Frequent Patterns for the Discovery of Association and Characterization Rules” after which she pursued her training as a postdoctoral fellow at INRIA, Rennes (France).