People

Read more about our group members.
Michael Mathioudakis

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. []
Sachith Pai

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. []
Jun Yang

Jun is a doctoral student in Computer Science. Her research focuses on Data Management for Efficient Machine Learning Pipelines. []
Other Members
  • Shaiza Mann, MSc thesis on "ML Model Distilation for Optimized Performance and Hardware Efficiency. 2024-.

 

 
Past members
Doctoral graduate: Ananth Mahadevan

Ananth completed a Ph.D. in Computer Science during 2020-2024. For a summary, see on the University webpage. His research focused on developing efficient end-to-end ML pipelines. [, ]
Doctoral graduate: Arpit Merchant

Arpit completed a Ph.D. in Computer Science during 2019-2023; for a summary, see this 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. [,

After his Ph.D., Arpit took the position of senior data scientist at the in Cambridgeshire, UK.
Researchers
  • Sean Xinyuan Zhou. Research assistant, on "Data exploration in VR." 2024.
  • Andreas Maniatis. National Technical University of Athens. Erasmus intern and research assistant. 2023. 
  • Yanhao Wang. Postdoctoral researcher. 2020-21. Moved to East China Normal University as Associate Professor.
  • Francesco Fabbri. Doctoral student at UPF Barcelona. Research Assistant. 2020. Worked on "" and published the work at WWW'21; and on "," which received the best paper award at WWW'22.
  • Corinna Hertweck. Research Assistant. 2019. Her MSc thesis on " was published in the Journal of Learning Analytics.
  • Riku Laine. Research Assistant. 2019. Worked on "" and received the best paper at Discovery Science 2020.
MSc Theses
  • Susanna Muhli. MSc thesis in Data Science, on "Counterfactual Explanations in the presence of Missing Values." 2024.
  • Edgars Gaisins. MSc thesis in Computer Science, on "". 2024.
  • Abdelkader Belmostefa, MSc thesis in Computer Science, on "." 2024.
  • Esa Kuivaniemi, MSc thesis in Data Science on "." 2023.
  • Anniina Sainio. MSc thesis on "." 2023.
  • Eino Keningi. MSc thesis on "." 2022.
  • Samu Suomela. MSc thesis on "." 2021.
  • Andrei Comanescu. MSc thesis on "." 2020.
  • Corinna Hertweck. MSc thesis on "." 2020.
  • Antti Karikoski. MSc thesis on ". " 2019.
  • Nikola Mandic. MSc thesis on "." 2018.