🎯 Professional Activities & Achievements

Welcome to my comprehensive activity timeline! Here you’ll find conferences, workshops, publications, teaching, and professional engagements throughout my academic journey.

✨ 2025

🌟 Media & Recognition

🔬 Media Spotlight: Luxembourg National Research Fund featured my research: Spotlight on Young Researchers: Building AI tools to help fight disease

📚 Publications

• 📄 Survey paper accepted by ACM Computing Survey (CSUR) IF 23.8 🏆
• 📄 Findings paper accepted by NAACL-2025

🎓 Mentoring & Teaching

• 🌟 4 MSc students successfully defended their theses under my advisement

🤝 Program Committee

• 🎯 PC Member: CIKM-2025

📝 Editorial & Review Service

• 🔍 Reviewer: ICML-2025, KDD-2025, NeurIPS-2025, LoG-2025

✈️ Conference Attendance

• 📍 AI4X-2025

🚀 2024

🏅 Awards & Funding

• 🎖️ Selected for Young International Academics (YIA) programme with joint IAS and MSCA funding
• 🥈 Advised MSc thesis won Runner-up for IT-Speciale Prisen from IDA IT 2024
• 💰 1-year project awarded by EuroHPC AI and Data-Intensive Applications Access Call
• 💰 3-month project awarded by EuroHPC Benchmark Access Call

📚 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 Data Mining MSc course, Aarhus University

🗣️ Talks & Presentations

• 🎤 Invited talk: “Leveraging Large Language Models for Molecule Prediction Tasks” at Pioneer Centre for AI workshop

📝 Editorial & Review Service

• 🔍 Reviewer: ICLR-2025, KDD-2025, LoG-2024
• 📰 Journal Reviewer: DMKD, TKDE

🤝 Program Committee

• 🎯 PC Member: LoG-2024 SocialNLP workshop @TheWeb-2024 (WWW-2024)

✈️ Conference Attendance

• 📍 ACL-2024
• 📍 ICDE-2024

📈 2023

📚 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 & Teaching

• 🌟 3 MSc students successfully defended their theses under my advisement

🗣️ Talks & Presentations

• 🎤 Invited talk: “Knowledge-augmented Graph Machine Learning for Drug Discovery” at:
  • SP2 Workshop, University of Luxembourg
  • Department of Computer Science, Aalborg University

📝 Editorial & Review Service

• 📰 Journal Reviewer: Artificial Intelligence, TKDD

🤝 Program Committee

• 🎯 PC Member: AICONF-23, ECML/PKDD-23
• 🎯 PC Member: SocialNLP workshop @TheWeb-23 (WWW-23)

✈️ Conference Attendance

• 📍 ECML-PKDD-2023

🎯 2022

📚 Publications

• 📄 Two long papers accepted by Data Mining and Knowledge Discovery (DMKD) and presented at ECML-PKDD-2023

🎓 Academic Milestones

• 🎉 Successfully defended PhD thesis on April 4th, 2022
• 📖 Thesis: “Leveraging Graph Machine Learning for Social Network Analysis”
• 🚀 Started Postdoc position at Aarhus University (May 2022)

🤝 Program Committee

• 🎯 PC Member: SocialNLP workshop @TheWeb-22 (WWW-22)

📊 2021

🎓 Mentoring & Teaching

• 🌟 1 MSc student successfully defended thesis under my advisement
• 👨‍🏫 Teaching Assistant: Distributed Systems course (2021-2022)

🏫 Professional Development

• 📚 LOGML Summer School (July 12-16, 2021) - Online

📝 Editorial & Review Service

• 📰 Journal Reviewer: Elsevier-Neurocomputing
• 🔍 Conference Reviewer: KDD-21

🤝 Program Committee

• 🎯 PC Member: SocialNLP workshop @TheWeb-21 (WWW-21)

🌐 2020

🏫 Professional Development

• 📚 SanDAL Winter School (December 7-11, 2020) - Online + Oral presentation

🎓 Teaching

• 👨‍🏫 Teaching Assistant: Distributed Systems course (2020-2021)

📝 Editorial & Review Service

• 🔍 Conference Reviewer: TheWeb-21 (WWW-21)

🤝 Program Committee

• 🎯 PC Member: SocInfo-20, ECML-PKDD-20

🔍 2019

✈️ Conference Attendance

• 📍 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: Distributed Systems course (2019-2020)
• 🎯 Local Organizer: UniGR Summer School on Verification Technology (VTSA 2019) - University of Luxembourg

🏫 Professional Development

• 📚 DigiCosme Spring School on Formal Methods and Machine Learning (ForMal) - ENS Paris-Saclay, France

💻 2018

🎓 Teaching

• 👨‍🏫 Teaching Assistant: Introduction to IT Security course (2018-2019)

🏆 Data Science Competitions

• 🥇 Gold Medal: Kaggle-Home Credit Default Risk (12/7198 teams)
• 🥇 Gold Medal: Kaggle-Avito Demand Prediction (11/1872 teams)
• 🥈 Silver Medal: Kaggle-TalkingData AdTracking (50/3961 teams)
• 🥉 Bronze Medal: Kaggle-Toxic Comment Classification (237/4551 teams)

💼 2017

🏢 Industry Experience

• 👨‍💼 Data Scientist at AT INTERNET

Last updated: July 2025 ✨