Helen started her doctoral studies at The Alan Turing Institute in October 2017. She is registered in the Statistics Department at UCL and is supervised by Dr. Ioanna Manolopoulou and Dr. Ioannis Kosmidis. Her main research interests are Statistical Learning, Statistical Inference, and Bayesian Modeling. Helen has recently graduated from University of Edinburgh with a masters in Statistics and Data Science and holds a BA from University of California, Berkeley with a double degree in Mathematics and Statistics.
Helen will be working on addressing a common challenge in binary studies: observations which are potentially mislabelled or may be missing, but whose mislabelling or missing mechanisms are related to the underlying process itself. The goal is to develop a formal framework of statistical modeling in the presence of inherent missingness and sampling biases. This topic relates to many applied research in Turing.
