Victor Applebaum

I was a mathematics PhD student, supervised by Krasimira Tsaneva-Atanasova, Peter Challenor and Kyle Wedgwood and finished my project in May 2026. My project title was "Uncertainty Quantification for Precision Medicine," which involved using statistical modelling techniques to make predictions about the trajectories of patients' conditions at the individual level.

I work primarily with longitudinal, time-series data, so my research centres around the contruction of autoregressive-style models, bespoke for each system I use.

To quantify uncertainty, I usually work with Bayesian techniques, however I also make use frequentist ensembling approaches occasionally.

In my PhD, I focussed on three problems: predicting progression of ambulation levels in Duchenne muscular dystrophy patients; predicting daily ventilator use in severely prematurely born infants; and investigating the effects of physiological variables on the daily trajectories of steroid hormones.

I am now a postdoc working on cancer outcome prediction and associated missing data problems at the University of Cambridge.