CV

Experience

• Imperial College London, Department of Mathematics:
  • Associate Professor in Statistics, 2025-present,
  • Assistant Professor (Lecturer) in Statistics, 2022-2025,
  • Research Associate, 2020-2021,
• Research Scientist Intern, Spotify, Tech Research (London, UK), summer 2020,
• Data Science Intern, Microsoft Corporation, Microsoft Defender Advanced Threat Protection Data Science group (Redmond, WA), summer 2019,
• Graduate Research Intern, Los Alamos National Laboratory, Advanced Research in Cyber Systems group (Los Alamos, NM), summer 2018.

Education

• PhD in Statistics, Imperial College London, 2017-2020,
• MSc in Statistics, Imperial College London, Distinction, 2016-2017,
• BSc in Statistics, University of Glasgow, First Class Honours, 2015-2016,
• Laurea in Scienze Statistiche (Bachelor Degree in Statistical Sciences, Statistics and Mathematics stream), University of Bologna, 110/110 cum laude, 2013-2016.

Research funding

• EPSRC ECR International Collaboration Grant 2024-2026 on Spectral embedding methods and subsequent inference tasks on dynamic multiplex graphs in collaboration with Johns Hopkins University.

Administrative roles

• Industry Liaison for the EPSRC CDT in Modern Statistics and Statistical Machine Learning at Imperial and Oxford (StatML.IO),
• Project coordinator for the MSc Machine Learning and Data Science at Imperial College London.