Profile
Bio: I obtained my Ph.D. in Computer Science from the University of Maryland at College Park, under the supervision of Jimmy Lin—who is now at the University of Waterloo. My research has centered around probabilistic data structures and approximate algorithms for retrieval, and efficient and effective algorithms for learning-to-rank. I’m the author of “Foundations of Vector Retrieval” and am presently serving as an Associate Editor for the ACM TOIS journal.
Philosophy: “Man muss noch Chaos in sich haben, um einen tanzenden Stern gebären zu können.” (Translation: You must have chaos within you to give birth to a dancing star.) –Friedrich Nietzsche
Awards and Distinctions
- [2024] Best Paper Runner-Up Award at the 47th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- [2024] Outstanding Program Committee Member at the 46th European Conference on Information Retrieval (ECIR)
- [2022] Program Committee Member Honorable Mention at the 31st ACM Web Conference (WWW)
- [2021] Outstanding Program Committee Member at the 14th ACM International Conference on Web Search and Data Mining (WSDM)
- [2020] Outstanding Program Committee Member at the 13th ACM International Conference on Web Search and Data Mining (WSDM)
- [2019] Best Short Paper Award at the 5th Annual ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR)
Academic Activities
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[2023-10 - 2026-10] I am serving as an Associate Editor on the ACM Transactions on Information Systems (TOIS) Editorial Board.
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[2022-10 - 2023-12] I co-edited the Special Section on Efficiency in Neural Information Retrieval for the ACM Transactions on Information Systems (TOIS) with Claudio Lucchese, Maria Maistro, and Franco Maria Nardini.
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[2023-09] I gave a keynote talk at SPIRE 2023 in Pisa, Italy.
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[2023-07] I co-organized the second international workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR) at SIGIR 2023 in Taipei, Taiwan, with Maria Maistro, Joel Mackenzie, and Franco Maria Nardini. (Workshop Website)
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[2023-02] I co-taught CM0638 on Learning with Massive Data at Università Ca’ Foscari in Venice, Italy in Spring 2023 with Prof. Claudio Lucchese.
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[2022-07] I co-organized the first international workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR) at SIGIR 2022 in Madrid, Spain, with Claudio Lucchese and Franco Maria Nardini. (Workshop Website)
- I have served on the Senior Program Committee or as Meta Reviewer for the following conferences:
- Conference on Web Search and Data Mining (WSDM - Full Paper) 2022–2025
- Conference on Knowledge Discovery and Data Mining (KDD) 2022
- The Web Conference (WWW - Search Track) 2023
- I have served on the Program Committee or as Reviewer for the following conferences:
- International Conference on Learning Representations (ICLR) 2025
- Neural Information Processing Systems (NeurIPS) 2024
- European Conference on Information Retrieval (ECIR - Full Paper Track) 2024
- European Conference on Information Retrieval (ECIR - Short Paper Track) 2023
- Conference on Web Search and Data Mining (WSDM - Full Paper) 2020–2021
- Conference on Web Search and Data Mining (WSDM - Tutorials) 2021
- Conference on Research and Development in Information Retrieval (SIGIR - Full Paper Track) 2019–2023
- Conference on Research and Development in Information Retrieval (SIGIR - Short Paper Track) 2019–2023
- The Web Conference (WWW - Search Track) 2020–2022
- Conference on Knowledge Discovery and Data Mining (KDD - Research Track) 2020–2021