My PhD aims at developing software and methods for the Bayesian inference of transmission trees (who infected whom). Using genetic and epidemiological data, the outbreaker2 package reconstructs transmission trees. I aim to develop additional likelihood components to the model and additional functionalities to visualise, process and analyse outbreak data.
Projects
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Experience
PhD Clinical Medical Research
Imperial College London, Dept. Infectious Disease Epidemiology
Mathematical Modelling of Infectious Diseases:
- Bayesian Modelling
- Genetic & Epidemiological analyses
- Programming (R, C++)
Supervisors:
Dr. Anne Cori, Dr. Thibaut Jombart & Prof. Peter White
Fully funded studentship:
NIHR Health Protection Research Unit in Modelling and Health Economics
Associate Researcher
UCL, Institute of Health Informatics
Research Assistant - Data Scientist
UCL, Institute of Epidemiology and Health Care
- Analytical tasks
- Operational tasks
- Teaching Assistant
Data Analyst Africa
Ministry of the French Armed Forces, Etat Major
- Data extraction, wrangling & analysis
- Natural Language Processing
- Classification Modelling
- Network graphs
- Mapping
MSc. Infectious Disease Epidemiology
Distinction
- Quantitative route
- Course description
BSc. Philosophy, Politics & Economics
2:1
- Economics & Data Science route
- Course description
Contact
- c.geismar21@imperial.ac.uk
- Medical School Building, St Mary's Hospital, Norfolk Place, London, W2 1PG