Bio
Julia Brettschneider is associate professor of statistics at the University of Warwick. She obtained her PhD in Mathematics from Humboldt University Berlin working on probability theory before she moved to postdoc positions working with genomic data at Eurandom (Eindhoven, Netherlands) and at the University of California at Berkeley (USA). Before starting in Warwick, she worked as assistent professor in the Department of Math/Stats and the Department of Epidemiology at Queen's University in Kingston )Ontario, Canada).
Research interests
Firstly, Julia is working on a mathematically rigorous framework to simultaneously describe a normative probabilistic and an empirically based behavioural models for decision making. This is relevant to automatic decision making and to human-machine interactions. Applications include health care, agriculture and hiring processes.
Secondly, together with her colleague Professor Wilfrid Kendall, she has been developing quality assessment methods for X-ray detectors in CT machines based on spatial point process modelling of dead pixel distributions. Using some of her R-code, the Turing research software engineering groups has built the webtool DetectorChecker which provides a detector quality report a wide community of users. She is currently working on more advanced methods describing a variety of pixel states and their spatio-temporal evolution.
Thirdly, she is working on rigorous mathematical and statistical foundations for modelling localisation and colocalisation of proteins in confocal microscopic images and videos. Once formalised, these scores can be used in machine learning tasks, e.g. classification of large protein screening studies in drug development or disease detection from medical images.