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Alex Bédard-Vallée

Alexandre Bédard-Vallée joined Crossref in 2025 as a Data Scientist. Bringing over six years of experience extracting meaningful insights from data within the research and scholarly publishing sector, Alexandre applies his expertise to large-scale bibliometric data, aiming to better serve the scholarly community. Prior to Crossref, during his tenure at Elsevier, he was instrumental in modernizing data infrastructure, significantly enhancing the efficiency of massive research data pipelines. His contributions included developing automated data quality checks, creating reusable Python tools to streamline data access, and leveraging machine learning techniques to uncover research trends. Alexandre provided key insights for major reports, contributing to evaluations for the Canada Research Chairs Program (CRCP) and the NSF Science and Engineering Indicators (SEI) between 2020 and 2024. Alexandre holds an M.Sc. in Quantum Physics (2018) and a B.Sc. in Physics (2016) from the Université de Sherbrooke.

Read more about Alex Bédard-Vallée on their team page.

Data Science @Crossref

To address the growing scale and complexity of scholarly data, we’ve launched a new data science function at Crossref. In April, we were excited to welcome our first data scientists, Jason Portenoy and Alex BĂ©dard-VallĂ©e, to the team. With their arrival, the Data Science team is now fully up and running. In this blog post, we’re sharing our vision and what’s ahead for data science at Crossref.