معرفی
Christian L. Althaus is a computational epidemiologist and Research Team Leader at the Institute of Social and Preventive Medicine (ISPM) at the University of Bern, Switzerland. He chairs the Executive Board of the Swiss Network for Infectious Disease Dynamics (SNIDDY) and served on the Swiss National COVID-19 Science Task Force in 2020. His work combines mathematical modeling and data science to address public health challenges, particularly for emerging infectious diseases like Ebola, MERS, and SARS-CoV-2.
- Education:
- Habilitation in Infectious Disease Epidemiology (2017, University of Bern)
- PhD in Theoretical Biology (2009, Utrecht University)
- Diploma in Biology (2004, ETH Zurich)
- Erasmus exchange (2002, Humboldt University Berlin)
His research focuses on epidemic modeling, superspreading, vaccine effectiveness, and antimicrobial resistance. Recent work includes analyzing SARS-CoV-2 variants, social contact patterns, and partner notification strategies for STIs. He has developed tools like the EpiLPS Bayesian framework for time-varying reproduction number estimation.
Selected scientific awards include the SNSF Ambizione Research Fellowship (2011-2014). Current team members include postdoctoral fellow Laura Di Domenico, PhD student Martin Wohlfender, and collaborators across public health and computational disciplines.
