Where Ideas Inspire Action
We are committed to advancing the understanding of epidemic spread and informing public health decision-making
Mission
Our mission at the Laboratory for Computational Epidemiology and Public Health (CEPH Lab) is to advance the understanding of infectious disease epidemiology and provide actionable insights to inform public health policy.
What we do
- Develop mathematical and computational modeling tools that simulate infectious disease transmission to investigate epidemic spread
- Apply statistical modeling to identify the socio-economic, behavioral, and environmental determinants of the epidemiology of infectious diseases and the ecology of their vectors
- Conduct model-based evaluations of the effectiveness of public health interventions to inform public health decision-making
- Forecast and nowcast infectious disease dynamics and vector populations to enhance public health situational awareness
About us
The laboratory is led by Marco Ajelli and is affiliated to the Department of Epidemiology and Biostatistics at the Indiana University School of Public Health - Bloomington.
We are Hiring
We are hiring a postdoctoral fellow in Infectious Disease modeling. We seek candidates with a doctoral degree in a quantitative field (e.g., Mathematics, Physics, Computer Science, or a related discipline). Candidates should be passionate about understanding the mechanisms driving epidemic spread, designing mathematical models, and building computational engines. The work will primarily focus on respiratory infectious diseases (e.g., COVID-19, influenza, RSV) and mosquito-borne diseases but may pivot to public health emergencies.
For inquiries regarding open positions, please get in touch with Dr. Ajelli directly with your CV.