Michael is an Associate Professor of Computer Science and leader of the group. His research has two aims: to make data analysis efficient end-to-end (from data management and processing to machine learning and inference); and to apply computing techniques in other disciplines (e.g., analysis of historical corpora or for data-based policy design). Previously, he taught at INSA Lyon for one semester (2017) and spent four years (2013-2017) as a postdoctoral researcher at Aalto University. He completed his doctoral studies at the University of Toronto (2013) and undergraduate studies at the National Technical University of Athens.
Jun is a doctoral student in Computer Science. Her research focuses on Data Management for Efficient Machine Learning Pipelines.
Sachith is a doctoral student in Computer Science, working on learned index structures.
Ananth completed a Ph.D. in Computer Science during 2020-2024. His research focused on developing efficient end-to-end ML pipelines. For a summary, see
Arpit completed a Ph.D. in Computer Science during 2019-2023; for a summary, see this