معرفی
Cecilia Trevisi is a Research Fellow in the Department of Global Health and Social Medicine at Harvard Medical School. She is currently enrolled in the Statistics and Data Science track of the Master’s program in Statistics and Economics at the University of Milano-Bicocca, where she also earned her Bachelor's degree in Statistics and Information Management. Her research focuses on applying advanced statistical methodologies to analyze causal relationships between healthcare interventions and clinical outcomes, particularly in the context of emerging regimens for drug-resistant tuberculosis.
- Education:
- Bachelor's degree in Statistics and Information Management, University of Milano-Bicocca
- Master’s in Statistics and Economics (Statistics and Data Science track), University of Milano-Bicocca
Research Interests: Cecilia’s work integrates statistical analysis with global health challenges, emphasizing the application of graph-based dependence structures and causal inference methods. Her current projects address critical gaps in understanding treatment efficacy for drug-resistant tuberculosis, leveraging interdisciplinary approaches to improve clinical outcomes.
Advising & Grants: No specific grants or advising roles are listed in the provided information.
Labs/Teams: Affiliated with the Department of Global Health and Social Medicine at Harvard Medical School, contributing to its broader initiatives in global health equity and evidence-based interventions.
