I am a research scientist at Pinecone where I lead the investigation of efficient and effective algorithms and probabilistic data structures for constrained Maximum Inner Product Search over dynamic, heterogeneous vectors, as well as learning to rank in vector spaces. My research interests also include the theory of stochastic ranking policies and a multifaceted study of efficiency, from time and space complexity to resource and energy consumption.

Academic Activities

• I am co-editing a 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. [CfP]

• I co-organized the first international workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR) at SIGIR 2021 with Claudio Lucchese and Franco Maria Nardini. (Workshop Website, Article)

• I have served on the Senior Program Committee for the following conferences:
  • Conference on Web Search and Data Mining (WSDM - Full Paper) 2022–2023
  • Conference on Knowledge Discovery and Data Mining (KDD) 2022
  • The Web Conference (WWW - Search Track) 2023
• I have served on the Program Committee for the following conferences:
  • 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) 2019–2022
  • Conference on Research and Development in Information Retrieval (SIGIR - Short Paper Track) 2019–2022
  • The Web Conference (WWW - Search Track) 2020–2022
  • Conference on Knowledge Discovery and Data Mining (KDD - Research Track) 2020–2021