Dr. Fabricio Vasselai

Assistant Professor

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Biography

Fabricio Vasselai is an Assistant Professor at the University of Illinois Urbana-Champaign, specializing in Quantitative Methods. He holds a Dual PhD from the University of Michigan in Political Science and Scientific Computing. His research focuses on using computational tools to study elections and the threats to election integrity from a comparative perspective. This includes projects that utilize Machine Learning, Geospatial Analysis, Computational Game Theory, and Bayesian Estimation. He refers to his research as Computational Electoral Studies. While at the University of Michigan, he was a researcher at the Center for Complex Systems in Political Studies and developed a novel dataset of high-resolution GIS maps that document the boundaries of electoral districts used globally, currently covering 1341 elections in 164 countries. Prior to his move to the U.S., he served as a visiting researcher at Åbo Akademi University in Finland and was awarded by the European Union Coimbra Group Universities, as well as being a visiting researcher at the Juan March Foundation in Spain, where he received the Fundación Carolina award. He is a proud alumnus of Brazil’s University of São Paulo.

Research Interests

Experience

Assistant Professor

— Present

University of Illinois Urbana-Champaign • Urbana, IL

Specializes in Quantitative Methods and computational studies related to elections.

Researcher

— Present

Center for Complex Systems in Political Studies, University of Michigan •

Developed datasets and research focused on electoral systems.

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.