Federico Veneri

Experience

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  ANII

  Apr 2012 - Jan 2013

  Intern
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  CINVE

  Mar 2013 - Apr 2016

  Research Assistant

  • Provided consultancy services to government agencies and industry stakeholders, delivering data insights to inform policy decisions.• Lead the development of scoring tools tailored for banking and financial institutions, enhancing their risk assessment capabilities and enabling more informed lending decisions. • In charge of survey sample design, data collection, and quality assurance process.• Authored documents across different fields, including labor economics, education, student academic performance, and the study of the innovation process within firms. Show less

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  Inter-American Development Bank

  Apr 2016 - Aug 2019

  External Consultant

  •Contributed to policy design and evaluations, specializing in causal evaluation and cost analysis of large-scale interventions.•External consultant in the evaluation of the IADB Local Public Safety Integrated Management Program (UR-L1062) and initial design of the Comprehensive Citizen Security Program (UR-L1112)•Lead data collection efforts across Latin America and the Caribbean, supervising junior consultants and ensuring comprehensive and accurate data acquisition.•Curated a unique and extensive database on government expenditure in citizen security. Data insights were used in the IADB flagship publication, Development in the Americas 2018.•Provided statistical analysis and technical reports to multiple government agencies in over eight countries in the region. • Contributed to developing local capabilities in several agencies through technical collaborations, workshops, and training sessions. •Authored one of the first impact evaluations in hotspot policing programs in Latin America using quasi-experimental methods. Show less

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  Iowa State University

  Aug 2019 - Dec 2024

  • Contributed to developing statistical foundations for machine learning-based score likelihood ratio (SLRs) inference. A statistical method that enables the computation of the value of evidence when contrasting opposing propositions in criminal justice. Provided applications in cases where traditional likelihood models are unfeasible to estimate, as in complex pattern evidence in forensics sciences.• Developed a novel resampling and ensemble learning approach for SLRs under the common source problem. Mitigating the dependence structure, reducing error rates, and increasing the discriminatory power of SLRs. • Introduced synthetic source anchoring to address the specific source problem, a data augmentation technique to increase the effective sample size of learning instances and reduce dependence structures.• Designed and conducted comprehensive simulation studies using high-performance computing to validate statistical methodologies in forensic sciences.• Presented at leading conferences, including the American Statistical Association Joint Statistical Meetings (ASA-JSM), the American Academy of Forensic Sciences (AAFS), and the South Dakota Data Science Symposium (SDDSU). Additionally, research results were presented in departmental research seminars and webinars for practitioners. Show less

  • Graduat Research Assistant

    May 2020 - Dec 2024

  • Graduat Teaching Assistant

    Aug 2019 - May 2020
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  Eli Lilly and Company

  May 2023 - Aug 2023

  ​PhD Statistician Intern

  •Collaborated in the development of methodological extensions for dose-response modeling. By integrating frequency variables into traditional models, our approach allowed consideration of dose and dosing regimen simultaneously.•Successfully implemented our novel statistical methods into an R package, effectively communicating our research findings and enabling frequency dose-ranging trials in pharmacological studies.

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  Inter-American Development Bank

  Jan 2025 - now

  Statistical Consultant