Postdoctoral researchers

Dr Alexis Arnaudon


Dr Alijadallah Belabess

Alijadallah Belabess joined the ICL team on a joint appointment between the Centre for Health Economics and Policy Innovation (CHEPI)  and the Centre for Mathematics of Precision Healthcare (CMPH) in the Mathematics Department. Alijadallah is a graduate of both the Université Pierre et Marie Curie and Ecole Polytechnique in Paris and has previously worked at Credit Suisse as a Quantitative Strategist.

Alijadallah joined Imperial College Business School in September 2018 working on the Science & Technology in Childhood Obesity Policy (STOP) project. His current research focuses on using mathematical models to produce estimates of the future burden of childhood obesity in the EU, its impact on health care expenditure, delivery, population well-being, health, and socio-economic inequalities, as well as estimating changes in these impacts through exploring various health and non-health-related policy options.


Dr Jonathan Clarke


Dr Paul Expert


Dr Antonia Godoy-Lorite


Jonathan R. Goodman

Jonathan is a Fellow of the Centre for Health Policy at the Institute of Global Health Innovation, where he specialises in digital health policy. His primary interests are ethics in digital health and the evolution of disease. His work has appeared in The Guardian, The Week, and Aeon, among other publications.


Dr Sam Greenbury


Dr Andrew McArdle

Andrew is following the Imperial 4i/NIHR BRC Clinician Training Scheme. He is working on “Identifying an infectious aetiology of Kawasaki Disease through integrative metagenomics of throat swabs and immune complexes” under the superviosn of Dr Myrsini Kaforou (Department of Medicine), Professor Mauricio Barahona (Department of Mathametics), Professor Mike Levin (Department of Medicine).


Dr Asher Mullokandov


Dr Kris Parag

My research focuses on translating fundamental information and control theoretic principles into new biological insights. I have previously applied optimal filters, Poisson information theory, queuing theory and experimental design to better understand phylodynamical processes (coalescent and birth-death models), invertebrate vision and the fundamental precision limits of simple biochemical networks. My current work aims to use event-triggered control and minimum description length to derive minimally complex models for describing the effective epidemiology of Ebola and influenza outbreaks.


Dr Yuanwei Xu