Succinct Graph Representations as Distance Oracles: An Experimental Study.
With Arpit Merchant and Aristides Gionis.
The Proceedings of the VLDB, volume 15. 2022. [to appear]

Scalably Using Node Attributes and Graph Structure for Node Classification.
With Arpit Merchant and Ananth Mahadevan.
Entropy. 2022. [DOI]

Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study.
With Ananth Mahadevan.
Machine Learning and Knowledge Extraction. 2022. [DOI]

Rewiring What-To-Watch-next Recommendations to Reduce Radicalization Pathways.
With Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo.
The Web Conference (WWW). 2022. [DOI]
Best Paper Award.

Workload-Aware Materialization of Junction Trees.
With Martino Ciaperoni, Cigdem Aslay, Aristides Gionis.
International Conference on Extending Database Technology (EDBT). 2022. [DOI]

Streaming Algorithms for Diversity Maximization with Fairness Constraints.
With Yanhao Wang, Francesco Fabbri.
IEEE International Conference on Data Engineering (ICDE). 2022.

Designing Affirmative Action Policies under Uncertainty.
With Corinna Hertweck, Carlos Castillo.
Journal of Learning Analytics. 2022. (to appear)

Joint Use of Node Attributes and Proximity for Node Classification.
With Arpit Merchant.
Complex Networks. 2021. [DOI]

Minimum Coresets for Maxima Representation of Multidimensional Data.
With Yanhao Wang, Yuchen Li, and Kian-Lee Tan.
ACM Principles of Database Systems (PODS) Symposium. 2021. [DOI]

Workload-aware materialization for efficient variable elimination on Bayesian networks.
With Cigdem Aslay, Martino Ciaperoni, Aristides Gionis.
IEEE International Conference on Data Engineering (ICDE). 2021. [DOI]

Fair and Representative Subset Selection from Data Streams.
With Yanhao Wang, Francesco Fabbri.
The Web Conference (WWW). 2021. [DOI]

Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach.
With Riku Laine, Antti Hyttinen.
International Conference on Discovery Science. 2020. [DOI]
Best Paper Award.

(So) big data and the transformation of the city.
With G. Andrienko, F. Giannoti, A. Gionis,
International Journal of Data Science and Analytics. 2020. [DOI]

Affirmative Action Policies for Top-k Candidates Selection, With an Application to the Design of Policies for University Admissions.
With Carlos Castillo, Giorgio Barnabo, Sergio Celis.
ACM Symposium of Applied Computing. 2020. [DOI]

Reducing Controversy by Connecting Opposing Views.
With K. Garimella, G. De Francisci Morales, A. Gionis.
Invited to IJCAI 2018. [DOI]

Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship.
With K. Garimella, G. De Francisci Morales, A. Gionis.
The Web Conference (WWW). 2018. [DOI]
Covered on: CNET, Le Monde.

Markov Chain Monitoring.
With H. Chauduri, E. Terzi.
SIAM Symposium on Data Mining (SDM). 2018. [DOI]

Quantifying Controversy on Social Media
With K. Garimella, G. De Francisci Morales, A. Gionis.
Springer Transactions on Social Computing. 2017. [DOI]

The Effect of Collective Attention on Controversial Debates on Social Media.
With K. Garimella, G. De Francisci Morales, A. Gionis.
Web Science (Websci). 2017. [DOI]
Best Student Paper. 

Reducing Controversy by Connecting Opposing Views.
With K. Garimella, G. De Francisci Morales, A. Gionis.
ACM Conference on Web Search and Web Mining (WSDM). 2017. [DOI]
Best Student Paper.
Covered on [Acolyer], [Communications of ACM – News], [Slate].

Bump Hunting in the Dark: Local Discrepancy Maximization on Graphs.
With A. Gionis, A. Ukkonen.
IEEE Transactions on Knowledge and Data Engineering (TKDE). 2016. [DOI]

Other Publications are available through Google Scholar and DBLP.


2022: Guest editor for the Special Issue on “Data Processing for Machine Learning”, Journal of Applied Sciences, MDPI. Senior Program Committee member for ACM WSDM 2023.
Reviewer for PVLDB Vol.16, ICDE 2023, ECML PKDD 2022, ACM Transactions on the Web.
2021: Reviewer for DAMI, KDD, SDM, The Computer Journal, The Web Journal, Complex Networks.
2020: Reviewer for CHI, DAMI, ICDE, KDD, TKDE.
2019: Reviewer for DAMI, ICDE, KDD, PVLDB, TKDE.


Data Science Project, University of Helsinki, Spring 2022, Spring 2021, Fall 2018.
CS Colloquium, University of Helsinki, 2022, 2021, 2020.
Network Analysis, University of Helsinki, Spring 2021, 2020, 2019.
News and Politics on the Web, Seminar, University of Helsinki, Fall 2018.
Introduction to Big Data Management: Semi-structured data and MongoDB, University of Helsinki, Fall 2018, with Jiaheng Lu.

Data Science, INSA Lyon, Fall 2017.
Modern Database Systems, Aalto, Spring 2017, with Aristides Gionis.
Modern Database Systems, Aalto, Spring 2016, with Aristides Gionis.
The course covers (i) relational database systems and disk access analysis, (ii) querying and indexing for semi-structured data and text, (iii) Map-Reduce and Apache Spark.
Mining the Social Web, Aalto, Spring 2015, with Aristides Gionis.