Biography

Born and raised in Dallas, Texas, I decided to go overseas to Cambridge to study engineering for my undergraduate degree. Now in my fourth year, I intend to continue in the Engineering Department, working towards a PhD in statistical machine learning. I was first introduced to machine learning techniques in the context of wearable biomedical devices while working with Roozbeh Jafari at Texas A&M for a summer internship. While realizing the potential that wearable devices have for providing doctors and patients unprecedented access to physiological data, I was also struck by the sheer amount of data to be processed to uncover meaningful patterns and make predictions. Inspired to address these and similar issues in data modelling, I hope to develop novel techniques to improve upon both the speed and accuracy of current machine learning algorithms. Central to my work will be the idea that a probabilistic framework, one that can fully account for uncertainties in the data, provides the most flexibility and power in making inferences; this is a framework that Cambridge specialises in. My research will be applicable to all branches of science, but I am most eager to apply it to biomedical research. I am very honoured to join the Gates Cambridge community.

Previous Education

University of Cambridge