معرفی
Federico A Veneri Guarch is a Uruguayan Fulbright scholar, economist, and statistician affiliated with the Department of Statistics at Iowa State University as a Researcher (2019–Present). He joined the department as a Ph.D. student in 2019 and contributes to CSAFE (Center for Statistics and Applications in Forensic Evidence) with simulation experiments and machine learning applications in forensic contexts.
Education:
- PhD in Statistics (2024) from Iowa State University
- MSc in Statistics (2021), Iowa State University
- MSc in Mathematical Engineering (2019), Universidad de la Republica (UdelaR)
- BSc in Statistics (2018) and BSc in Economics (2013), both from UdelaR
Research interests span statistical modeling, policy evaluation, and machine learning applications, particularly in forensic statistics and score likelihood ratios (SLR). His work includes evaluating SLR methods for forensic evidence assessment and developing ensemble approaches to address complex dependence structures in common source problems.
Publications highlight his focus on statistics, machine learning, and forensic science, including submissions on SLR evaluation and ensemble systems for forensic evidence. These works intersect statistical foundations, performance metrics, and probative value assessment.
Scientific awards and scholarships:
- Statistical Significance Award (2022) - 2nd place at JSM
- Fulbright Scholarship (2019) sponsored by the U.S. and ANII Uruguay
- ANII National Graduate Scholarship (2016) from Uruguay
Professional experience includes:
- Graduate Research Assistant at CSAFE (2020–Present): Developed code for simulation experiments, implemented performance metrics for SLR, and presented at ASA-JSM and AAFS conferences
- Graduate Teaching Assistant (2019–2020): Assisted in Stat 326 and Stat 526 courses
- External Consultant at Inter-American Development Bank (2016–2019): Led data collection across Latin America and the Caribbean, created a government expenditure database on citizen security, and developed ML algorithms for domestic violence prevention
- Research Assistant & Consulting at CINVE (2013–2016): Provided consultancy to government and industry, developed scoring tools for banking institutions, and conducted policy impact evaluations
Skills include R, Python, and statistical analysis. He has also contributed to hotspots policing studies in Uruguay and data science tools workshops.
