Athanasios Tsanas (Oxford, 2008-2012)
Thanasis' D.Phil. research explored the use of voice recordings to develop objective, automated tools for detecting Parkinson's and predicting symptom severity. Thanasis is currently a postdoctoral researcher in biomedical engineering at Oxford, and also a junior research fellow at Kellogg College.
Ben Fulcher (Oxford, 2009-2012)
Ben worked on massively systematic approaches to time series analysis. He applied a vast array of analysis algorithms across multidisciplinary time series, discovering empirical structural relationships between seemingly unrelated analysis algorithms and suggesting new analysis methods that cross disciplinary boundaries, among many other innovations. He then went on to a postdoctoral research fellowship at Monash, exploring physics-based modeling of biological systems combined with time series analysis and statistical machine learning to aid understanding of brain connectivity.
Paul Moore (Oxford, 2008-2014)
Paul developed time series analysis methods for characterizing and predicting bipolar disorder, based on a large and unique set of weekly, self-reported symptom data in the form of mobile phone texts. He used methods such as Gaussian process regression and exponential smoothing.
Jordan Raykov (Aston, 2013-)
Jordan's primary research focus is to improve the computational tractability of inference in Bayesian nonparametric models such as combinatorial stochastic processes. For example, he has developed novel maximum a-posteriori algorithms for Dirichlet process mixtures.
Reham Badawy (Aston, 2014-)
Reham has a combined honours background in neuroscience and computer science, and is investigating how to detect Parkinson's disease prodromally (that is, before the symptoms are readily apparent in clinic), using mass-scale data collected using smartphones.