Lorenzo Perini
Scholar

Lorenzo Perini

Google Scholar ID: 3L1PxnUAAAAJ
Research Scientist @ Meta
Anomaly DetectionUncertainty QuantificationPU LearningActive LearningLearning to Reject
Citations & Impact
All-time
Citations
419
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Research Experience
  • Research Scientist, Central Applied Science, Meta, Dec 2024 – Present, London, UK.
  • Postdoctoral Researcher, KU Leuven, Apr 2024 – Nov 2024, Leuven, Belgium.
  • Research Scientist Intern, Bosch Center for AI (BCAI), Sep 2023 – Jan 2024, Renningen, Germany; Task: designing a data quality metric for synthetic anomalies; Outcome: paper under submission.
  • Visiting Ph.D. Researcher, University of Helsinki, Feb 2022 – Jul 2022, Helsinki, Finland; Task: estimating posterior distribution of contamination factor via Bayesian Learning and Variational Inference; Outcome: paper published at ICML 2023.
  • Ph.D. Researcher, KU Leuven, Oct 2019 – Mar 2024, Leuven, Belgium; Responsibilities: publishing peer-reviewed papers, giving talks, supervising theses, reviewing, and teaching assistance.
  • Data Scientist Intern, Tierra S.p.A., Feb 2019 – Jul 2019, Turin, Italy; Tasks: data engineering, time-series analysis, deep learning, predictive maintenance, anomaly detection; Outcome: MSc thesis.