DPhil (PhD) student in Computer Science
University of Oxford
I am currently a fourth year DPhil (PhD) student in Computer Science at the University of Oxford, where I am a member of the FDB research group. I conduct research on in-databse analytics, which is at the interface of data management and machine learning, under the supervision of Dan Olteanu.
Before the PhD, I received a MSc in Computer Science from Oxford and a BSc in Economics and Computational Mathematics from The American University of Paris.
In my research, I aim to unify database systems and analytics engines into one highly optimised database-centric analytics engine, which can efficiently compute machine learning models over large-scale relational databases. Such a system can exploit the relational structure of the database to (1) avoid redundancy in data representation and computation, and (2) learn potentially more accurate machine learning models with low runtime complexity guarantees. For real applications in the retail and advertisement domains, the system can learn a host of machine learning models orders of magnitude faster than state-of-the-art competitors like TensorFlow and scikit-learn. For more information, please check out our project webpage, the publications listed below, or get in touch.