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. [University profile]
Sachith is a doctoral student in Computer Science. His research focuses on developing learned index structures. In more detail, Sachith develops algorithms to learn patterns in the available data and harness them for optimized data retrieval and query processing for a given data science task. Specifically, in his current work, Sachith builds indexes for multi-dimensional data that are optimized to adapt to an underlying density model for the data. Such indexes have the potential to be more efficient than traditional, model-agnostic index structures, and thus increase the efficiency of many data science tasks. [University profile]
Jun is a doctoral student in Computer Science. Her research focuses on Data Management for Efficient Machine Learning Pipelines. [University profile]
Ananth completed a Ph.D. in Computer Science during 2020-2024. For a summary, see this article on the University webpage. His research focused on developing efficient end-to-end ML pipelines. [University profile, Doctoral thesis]
Arpit completed a Ph.D. in Computer Science during 2019-2023; for a summary, see this news article on the University webpage. His doctoral research developed algorithms for network analysis using network embeddings. In more detail, Arpit used network embeddings for node classification, network summarization, and graph query processing. His doctoral research appeared at top international venues such as VLDB, WSDM, CIKM, and ECAI. [University profile, doctoral thesis]
After his Ph.D., Arpit took the position of senior data scientist at the Wellcome Sanger Institute in Cambridgeshire, UK.