Anita has a PhD in Experimental Particle Physics from University of Oxford. Her thesis involved analysing huge datasets from the Large Hadron Collider at CERN (producing about 1 billion collisions per second) to understand the structure of the universe. This involved applying machine learning algorithms to classify particles of interest and building statistical models to make measurements of particle behaviour.
She also worked as a postdoctoral researcher in epidemiology with the Malaria Atlas Project based at the Big Data Institute, University of Oxford. This work involved working within a multidisciplinary team researching spatial modelling techniques, including Bayesian spatial modelling and machine learning algorithms, to improve malaria risk predictions for future research and policy decisions.
Anita has authored several peer-reviewed publications in the fields of particle physics, epidemiology, statistics and medicine. She also writes a blog containing articles on various scientific topics.