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		<h2>Service</h2>
		<h3>Editorial Boards</h3>
		<p class="notop">Data Mining and Knowledge Discovery (Action Editor)</p>
		<p class="notop">Machine Learning (guest editorial board for ECML
		PKDD'19&mdash;23)</p>
		<h3>Organizing Committees</h3>
		<p class="notop">2025: SIAM SDM'25 (General Co-Chair)</p>
		<p class="notop">2024: SIAM SDM'24 (Blue-sky-idea Track PC Chair), ACM
			KDD'24 (PhD consortium Co-chair), <a
			href="https://www.dagstuhl.de/24391">Dagstuhl workshop on Statistical and
			Probabilistic Methods in Algorithmic Data Analysis</a> (Organizer)</p>
		<p class="notop">2023: ACM MAGICC (Keynote and Panel Chair), ECML PKDD'23
			(Doctoral Forum Co-chair)</p>
		<p class="notop">2022: SIAM SDM'22 (PC Co-chair)</p>
		<p class="notop">2021: SIAM SDM'21 (Tutorial Chair)</p>
		<p class="notop">2020: SIAM SDM'20 (Doctoral Forum Co-chair)</p>
		<p class="notop">2019: SIAM SDM'19 (Doctoral Forum Co-chair)</p>
		<p class="notop">2018: SIAM SDM'18 (Sponsorship Co-chair), <a
		href="foulard18/">Foundations on Learning from Data Workshop</a>
		(Organizer)</p>
		<h3>Program Committees</h3>
		<p>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.</p>
		<h3>Journal Reviewing</h3>
		<p>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.</p>
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