Service
Editorial Boards
Data Mining and Knowledge Discovery (Action Editor, 2020-23, guest editorial board for ECML PKDD'19—25)
Machine Learning (guest editorial board for ECML PKDD'19—25)
VLDB Journal (editorial board, 2025-)
Organizing Committees
2026: SIAM SDM'26 (General Co-Chair)
2025: ACM CIKM'25, (Tutorial Co-Chair), SIAM SDM'25 (General Co-Chair)
2024: SIAM SDM'24 (Blue-sky-idea Track PC Chair), ACM KDD'24 (PhD consortium Co-chair), Dagstuhl workshop on Statistical and Probabilistic Methods in Algorithmic Data Analysis (Organizer)
2023: ACM MAGICC (Keynote and Panel Chair), ECML PKDD'23 (Doctoral Forum Co-chair)
2022: SIAM SDM'22 (PC Co-chair)
2021: SIAM SDM'21 (Tutorial Chair)
2020: SIAM SDM'20 (Doctoral Forum Co-chair)
2019: SIAM SDM'19 (Doctoral Forum Co-chair)
2018: SIAM SDM'18 (Sponsorship Co-chair), Foundations on Learning from Data Workshop (Organizer)
Program Committees
I regularly serve on the PC, often as Senior PC / Area Chair, of many prominent Data Mining / Machine Learning conferences, such as ACM KDD, WWW, IEEE ICDM, NeurIPS, AAAI, ACM WSDM, SIAM SDM, ECML PKDD, and others.
Journal Reviewing
I constantly review for many Data Mining / Machine Learning journals: ACM TKDD, DAMI/DMKD, IEEE TKDE, JMLR, Mach. Learn, ACM TODS, ACM TIST, KAIS, VLDBJ, and others.