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Ph.D. in Theoretical Computer Science

• Advisor: Aristides Gionis

M.Sc. in Machine Learning, Data Science, and Artificial Intelligence

B.Eng. in Information Security

Research Engineer

• Advisor: Aristides Gionis

Postdoc Researcher

• Funded by The Wallenberg - Bienenstock Postdoctoral Fellowship Program; Advisor: Ashish Goel

University of Padova, Italy

• Host: Leonardo Pellegrina

University of Ioannina, Greece

• Host: Panayiotis Tsaparas

80% Seminar at KTH

• Title: Algorithmic Approaches to Online Social Network Challenges
• Opponent: Ioana O. Bercea, KTH

Seminar at University of Padova

• Title: Algorithmic Approaches to Online Social Network Challenges

KDD, conference presentation

• Title: Adversaries with Limited Information in the Friedkin-Johnsen Model

The Web Conference, conference presentation (virtual event)

• Title: A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks

50% Seminar at KTH

• Title: Combating Bias and Polarization in Social Networks
• Opponent: Tijl De Bie, Ghent University

Data Science Seminar at KTH

• Title: Co-exposure Maximization in Online Social Networks

NeurIPS, conference poster session (virtual event)

• Title: Co-exposure Maximization in Online Social Networks

• Webconf'26

• KDD'24
• ACML'24
• SDM'25

• KDD'23
• SDM'24

• IEEE Transactions on Computational Social Systems

• Transactions on the Web
• Network Science
• SODA'25 (subreviewer)
• IEEE Transactions on Networking
• Frontiers of Computer Science

• Online Social Networks and Media

• ICDM (subreviewer)

• WSDM (subreviewer)
• The Webconf (subreviewer)

Aarhus Summer School on Learning Theory, Aarhus University

• August 19-22
• Website: conferences.au.dk/asslt

ECMLPKDD'23, PhD Forum, Torino

• September 18-22
• Poster: Adversaries with Limited Information in the Friedkin-Johnsen Model

23rd Max Planck Advanced Course on the Foundations of Computer Science, Saarbrucken

• August 21-25
• Topic: Algorithmic Foundations of Data Analysis
• Website: conferences.mpi-inf.mpg.de/adfocs-23/

Swedish Summer School in Computer Science, KTH

• June 26-July 2
• Topics: The Method of Moments in Computer Science and Beyond (Ankur Moitra); Polyhedral Techniques in Combinatorial Optimization (Ola Svensson)
• Website: s3cs.eecs.kth.se

Machine Learning, Advanced Course

• Responsibilities included proposing new problems, conducting Q&A sessions, and grading assignments and project reports.
• Teaching commitment: 80-120 academic hours.

Advanced Algorithms

• Responsibilities included holding exercise sessions, grading assignments, and evaluating project reports.
• Teaching commitment: 80-120 academic hours.

Algorithms and Complexity

• Responsibilities included holding exercise sessions and grading assignments.
• Teaching commitment: 80 academic hours.