Danilo Petti

Dr. Danilo Petti is a Lecturer in Statistics and Data Science at the University of Essex, affiliated with the School of Mathematics, Statistics and Actuarial Science (SMSAS). He previously served as a SAS Trainer at the University of Salerno (2020–2022). His expertise spans computational statistics, statistical learning, graphical models, causal inference, survival analysis, and copula models.

Education:

• BSc in Economics (110 cum Laude), University of Salerno
• MSc in Statistics and Actuarial Science (110 cum Laude), University of Salerno
• MSc in Statistics (Distinction), University College London
• PhD in Statistics, University of Salerno
• Certified SAS Trainer (score 980/1000)

Research Focus: Dr. Petti's work emphasizes methodological advancements in statistical analysis, particularly in bivariate variable selection, copula-based models for survival outcomes, and applications in finance and economics. His recent publications address topics like geopolitical risks' impact on cryptocurrency markets and computational techniques for censored time-to-event data.

Teaching & Grants: Engaged in teaching statistics and data science courses. No specific grants or advising records are detailed here.

Labs/Teams: Not explicitly mentioned in available materials.