• Graduate Programs
    • Facilities
    • Tinbergen Institute Research Master in Economics
      • Why Tinbergen Institute?
      • Research Master
      • Admissions
      • PhD Vacancies
      • Selected PhD Placements
    • Research Master Business Data Science
    • Education for external participants
    • Summer School
    • Tinbergen Institute Lectures
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
  • Alumni
    • PhD Theses
    • Master Theses
    • Selected PhD Placements
    • Key alumni publications
    • Alumni Community
Home | News | New Candidate Fellow: Alberto Quaini
News | May 16, 2023

New Candidate Fellow: Alberto Quaini

Alberto Quaini is an Assistant Professor of Statistics at Erasmus University Rotterdam.

New Candidate Fellow: Alberto Quaini

Alberto obtained a PhD in Statistics at the University of Geneva, Zwitserland and then joined the same univesrity as postdoctoral researcher. During his postdoc he visited Columbia University, United States. His research lies at the intersection of Asset Pricing and Statistical Learning, with an emphasis on the development of the theory of penalized estimators and their applications to problems in financial econometrics.