I am interested in how we can use digital traces to better understand people with applications in both security and health. With this, I apply a variety of methods, including traditional statistical techniques, machine learning, computational linguistics, as well as some qualitative techniques. 

I am particularly interested in how we can understand how individuals negotiate and adapt their behavior over time and across contexts, both on- and offline. 

Measurement and inferences are key to my work, where I am fascinated about how we conceptualise, capture, measure, and generate inferences about individuals. 

I am also on the committee for two Research Ethics Councils: (1) University of Bath -- Social Sciences Research Ethics Council (SSREC), and (2) Lancaster University (CREST) -- Security Research Ethics Council (SREC).

I currently teach the MSc Units Data Mining and Machine Learning (MN50752) and Data Mining, Machine Learning, and Econometrics (ES50155).