EXPLORE

Yasmin Toledo

Epidemiologist (MSc & PhD ongoing at ENSP/FIOCRUZ) working with Real-World Evidence (RWE) and Machine Learning in Healthcare. 6+ years generating evidence in infectious diseases (COVID-19, measles, influenza, arboviruses).

Professional Experience

NOV 2025 — PRESENT

Research Epidemiologist | AI Champion

IQVIA — Global Team (CEL Cluster / Latin America)

Conducts Real-World Evidence (RWE) and Real-World Data (RWD) observational studies for pharmaceutical and life sciences clients. Appointed AI Champion, designing AI agents that optimize scientific workflows and save ~30 hours per project.

Real-World Evidence (RWE) AI Agent Development Machine Learning ICH-GCP Compliance
FEB 2024 — JAN 2025

Epidemiologist — Hospital Surveillance

Rio de Janeiro City Hall — Hospital Municipal Evandro Freire

Conducted morbidity/mortality analyses, interactive KPI dashboards, and vaccine pharmacovigilance for the 2024 influenza campaign. Automated epidemiological surveillance workflows to reduce response times.

Pharmacovigilance (AEFI) Data Dashboards Disease Surveillance
OCT 2021 — OCT 2023

Research Fellow — Measles Risk Stratification

FAPERJ (Rio de Janeiro State Research Foundation)

Applied spatio-temporal modeling and WHO risk stratification tools for measles transmission in Rio de Janeiro. Published three peer-reviewed international manuscripts.

Spatio-Temporal Modeling WHO Risk Tools Peer-Reviewed Publications
JAN 2020 — OCT 2021

Research Fellow — COVID-19 Surveillance Models

CNPq (Brazilian National Council for Scientific Development)

Characterized public health surveillance models for COVID-19 and severe acute respiratory syndromes to inform pandemic preparedness and response systems.

COVID-19 Modeling Evidence Synthesis Pandemic Preparedness

Education

JAN 2026 — 2029 (ONGOING)

PhD in Epidemiology in Public Health

ENSP / FIOCRUZ — Oswaldo Cruz Foundation

FEB 2024 — DEC 2025

MSc in Public Health Epidemiology

ENSP / FIOCRUZ — Focus: Infectious Diseases & Statistical Modeling

MAR 2019 — JAN 2024

BSc in Public Health

Federal University of Rio de Janeiro (UFRJ)

Skills & Technologies

Analytical & Modeling Tools

R (R Markdown, R Shiny) Python SQL QGIS Power BI Tableau Looker Studio

Methodological Expertise

RWE & RWD Analysis Cohort & Case-Control Studies AI Agents & LLMs Spatio-Temporal Modeling Pharmacoepidemiology ICH-GCP Compliance

Languages

Portuguese: Native
English: Intermediate (B1) — Critical reading & scientific writing, daily international team work
Spanish: Intermediate (B1)