Paulo Cesar Ventura
Paulo Cesar Ventura

Postodctoral Researcher

Addressing public health questions with computational modeling

I am a postdoctoral researcher at Indiana University, supervised by prof. Marco Ajelli. With a background in physics, my current research is in Computational Epidemiology focused on respiratory and vector-borne diseases in humans. During my PhD supervised by prof. Francisco Rodrigues I worked with complex systems and contagion dynamics, having done a one-year internship with prof. Yamir Moreno in Zaragoza Spain.

Topics
  • Computational epidemiology
  • Agent-based models
  • Disease forecasting
  • Complex systems
Education
  • PhD in Physics, 2022

    University of São Paulo

  • MsC in Physics, 2017

    University of São Paulo

  • BsC in Psysics, 2014

    University of São Paulo

Research interests (active)
  • Computational modeling of infectious diseases, with applications to ongoing public health concerns
  • Vector-borne diseases and mosquito population dynamics
  • Respiratory diseases forecasting and scenario projection
Featured Publications

Theory meets practice

Combining my theoretical background with my experience in applied computational modeling, I help our research team to provide evidence-based insights in epidemiology.

At the CEPH lab, we have worked with public health institutions by providing forecasts of respiratory diseases. We also developed a mosquito abundance forecasting tool, in partnership with local health and vector control authorities in the USA. We also work on fundamental research, unveilling transmission patterns of respiratory infections using mechanistic and statistical modeling approaches.

I have also developed an educational tool for students to practice their decision-makers skills during class, used since 2023 at IU.

I am driven by curiosity and I’m always eager to work on new topics and improve my skills.

Recent Publications
(2025). Assessing the Effectiveness of Test-Trace-Isolate Interventions Using a Multi-Layered Temporal Network. Inf. Dis. Mod. 10(3).
(2024). Forecasting the Relative Abundance of Aedes Vector Populations to Enhance Situational Awareness for Mosquito Control Operations. Plos Neg. Trop. Dis. 18(11).
(2024). Evaluation of FluSight Influenza Forecasting in the 2021-22 and 2022-23 Seasons with a New Target Laboratory-Confirmed Influenza Hospitalizations. Nat. Comm. 15(1).
(2024). Unveiling the Role of Mosquito and Human Diel Activity Patterns in the Risk of Mosquito-Borne Disease Infection. medRxiv.
(2024). Comparing the Effectiveness of Adulticide Application Interventions on Mitigating Local Transmission of Dengue Virus. Jour. Pest Sci. 97.