Activities

Conferences, workshops, publications, teaching and professional service throughout my academic journey, newest first.

🆕 2026

📚 Publications: research paper accepted by NeurIPS-2026; workshop paper accepted by ML4Molecules @ NeurIPS-2026
🏅 Awards: Awarded Reviewer at ICML-2026 and ICLR-2026
🧑‍🏫 Teaching: lecturer of the Distributed Systems MSc course at University of Luxembourg (winter semester 2026-2027)
🧑‍⚖️ Area Chair: AI4DD workshop @ NeurIPS-2026
🤝 Program Committee: AAAI-2027, CIKM-2026, LASS workshop @ CIKM-2026
🔍 Reviewer: ICLR-2027, NeurIPS-2026, ICML-2026, KDD-2026/2027, TheWebConf-2027

🚀 Milestone: started as MSCA Postdoc / YIA Fellow at University of Luxembourg (March 2025); Principal Investigator of the KDRecell project
🌟 Media: Luxembourg National Research Fund featured my research: Spotlight on Young Researchers: Building AI tools to help fight disease
📚 Publications: research paper accepted by NeurIPS-2025; survey paper accepted by ACM Computing Surveys (CSUR) IF 23.8 🏆; findings paper accepted by NAACL-2025
🏅 Awards: Awarded Reviewer at KDD-2025, TKDE and TNNLS
🎓 Mentoring: 4 MSc students successfully defended their theses under my advisement
🤝 Program Committee: CIKM-2025, WSDM-2025, ICDE-2025
🔍 Reviewer: ICML-2025, KDD-2025, NeurIPS-2025, LoG-2025, ICLR-2026, TheWebConf-2026
✈️ Attended: AI4X-2025

🏅 Awards & Funding: selected for the Young International Academics (YIA) programme with joint IAS and MSCA funding (400,000 €, acceptance rate 8%); 1-year project awarded by EuroHPC AI and Data-Intensive Applications Access Call; 3-month project awarded by EuroHPC Benchmark Access Call; advised MSc thesis won Runner-up for IT-Speciale Prisen from IDA IT 2024; Awarded Reviewer at LoG-2024
📚 Publications: long paper accepted by ECML-PKDD-2024; findings paper accepted by ACL-2024; poster presented at ICDE-2024
🎓 Mentoring & Teaching: 10 students (7 MSc + 3 BSc) successfully defended their theses under my advisement; guest lecture at the Data Mining MSc course, Aarhus University
🎤 Talks: invited talk “Leveraging Large Language Models for Molecule Prediction Tasks” at the Pioneer Centre for AI workshop
🤝 Program Committee: LoG-2024, SocialNLP workshop @ TheWeb-2024 (WWW-2024)
🔍 Reviewer: ICLR-2025, KDD-2025, LoG-2024; journals DMKD, TKDE
✈️ Attended: ACL-2024, ICDE-2024

📚 Publications: long paper accepted by IEEE Computational Intelligence Magazine (CIM); long paper accepted by ACM Transactions on the Web; two short papers accepted by LoG-2023; tutorial “Knowledge-augmented Graph Machine Learning for Drug Discovery” accepted by KDD-2023
🎓 Mentoring: 3 MSc students successfully defended their theses under my advisement
🎤 Talks: invited talk “Knowledge-augmented Graph Machine Learning for Drug Discovery” at the SP2 Workshop, University of Luxembourg, and at the Department of Computer Science, Aalborg University
🤝 Program Committee: AICONF-23, ECML/PKDD-23, SocialNLP workshop @ TheWeb-23 (WWW-23)
🔍 Reviewer: journals Artificial Intelligence, TKDD
✈️ Attended: ECML-PKDD-2023

🎉 Milestones: successfully defended my PhD thesis “Leveraging Graph Machine Learning for Social Network Analysis” on April 4th, 2022; started as a Postdoc at Aarhus University (May 2022), working on the Eurostars Eureka project AAVanguard (an AI platform for next-generation AAV capsids for gene therapy)
📚 Publications: two long papers accepted by Data Mining and Knowledge Discovery (DMKD) and presented at ECML-PKDD-2023
🤝 Program Committee: SocialNLP workshop @ TheWeb-22 (WWW-22)

🎓 Mentoring & Teaching: 1 MSc student successfully defended their thesis under my advisement; Teaching Assistant for the Distributed Systems course (2021-2022)
🏫 Training: LOGML Summer School (July 12-16, 2021), online
🔍 Reviewer: KDD-21; journal Elsevier-Neurocomputing
🤝 Program Committee: SocialNLP workshop @ TheWeb-21 (WWW-21)

🏫 Training: SanDAL Winter School (December 7-11, 2020), online, with an oral presentation
🎓 Teaching: Teaching Assistant for the Distributed Systems course (2020-2021)
🔍 Reviewer: TheWeb-21 (WWW-21)
🤝 Program Committee: SocInfo-20, ECML-PKDD-20

✈️ Attended: ACM-IMC Conference (October 21-23), Amsterdam, Netherlands; ACM-IMC Shadow PC meeting (July 29), Queen Mary University of London, UK
🎓 Teaching & Organization: Teaching Assistant for the Distributed Systems course (2019-2020); local organizer of the UniGR Summer School on Verification Technology (VTSA 2019), University of Luxembourg
🏫 Training: DigiCosme Spring School on Formal Methods and Machine Learning (ForMal), ENS Paris-Saclay, France

🎓 Teaching: Teaching Assistant for the Introduction to IT Security course (2018-2019)
🏆 Kaggle: 🥇 Gold — Home Credit Default Risk (12/7198 teams); 🥇 Gold — Avito Demand Prediction (11/1872 teams); 🥈 Silver — TalkingData AdTracking (50/3961 teams); 🥉 Bronze — Toxic Comment Classification (237/4551 teams)

Last updated: October 2026 ✨