14th Workshop on Computational Advances in Molecular Epidemiology
Workshop Chairs
- Mukul S. Bansal — University of Connecticut, mukul.bansal@uconn.edu
- Yury Khudyakov — Centers for Disease Control and Prevention, yek0@cdc.gov
- Pavel Skums — University of Connecticut, pavel.skums@uconn.edu
Molecular epidemiology is an integrative scientific discipline that relates the molecular underpinnings of biological processes and environmental risk factors to the etiology, spread, and prevention of disease in human populations. Over the years, molecular epidemiology has become extensively fused with mathematical and computational science and has benefited immensely from this tight association. The CAME workshop serves as a forum to review and discuss the latest advances in the application of mathematical and computational approaches to molecular epidemiology.
Topics of interest
Workshop topics of interest include but are not limited to:
- Computational support for disease surveillance
- Evaluation of viral populations
- Identification of novel disease markers
- Identification of pathogen transmission events
- Pathogen evolution
- Population dynamics and drug-resistance
- Transmission networks
- Cancer evolution and metastasis
- Viral phylodynamics
The meeting is by invitation only.
Following the workshop, speakers will be invited to submit extended abstracts for publication in the Springer LNBI (pending approval) post-proceedings volume devoted to ICCABS 2027 and/or full length articles to a special issue of the Journal of Computational Biology.