Ansaf Salleb-Aouissi

Ansaf Salleb-Aouissi is a Lecturer in discipline at Columbia University's Computer Science Department, School of Engineering and Applied Science. After earning her BS in Computer Science from the University of Science and Technology (USTHB), Algeria in 1996, she completed her masters and Ph.D. in Computer Science from the University of Orleans, France, in 1999 and 2003 respectively. Her research expertise spans machine learning, artificial intelligence, medical informatics, and computer science, with significant contributions to healthcare and education technology. She has received notable recognition through a National Science Foundation award for her work on preterm birth prediction and a Pearson Education grant for advancing online self-learning research. Her scholarly work includes numerous publications in prestigious venues such as TPAMI, JMLR, ECML, PKDD, COLT, IJCAI, ECAI, and AISTAT. She is also known for co-authoring QuantMiner, an open-source software for mining quantitative association rules that has found widespread use in both professional and academic settings. Her work in machine learning applications for healthcare, particularly through the MUCMD (Machine Learning in Healthcare) platform, has significantly contributed to the field of medical informatics.