15 Sept 2025
Kes joins the DASS team as a Senior Research Associate at Lancaster University working alongside Professors Idris Eckley and Paul Fearnhead.
Kes works particularly with high-velocity count data such as streams of photons, where no one photon is anomalous but the signals they create must be monitored to find emerging patterns. Kes is interested in computational questions about designing efficient and effective anomaly detection algorithms for these kinds of scenarios. How do we find anomalous intervals in one signal if the number of intervals in our signal is too large to check them all? How can we find anomalies occurring over subsets of different signals if the number of possible subsets is too large to check as well? What do we do if we want to solve both of these problems at once? And how can we adapt an anomaly detection method based on a Normality assumption to work with data that is not Normally distributed?
In their spare time, Kes likes going for walks in the Lake District, runs their own tabletop game, and makes pyrographic woodburned art.
