Eiko Yoneki

Eiko is an Affiliated Lecturer and Senior Researcher and a Fellow at the Alan Turing Institute. Her research interests span distributed systems, networking and databases, including large-scale graph processing. Her current research focuses on auto-tuning of data processing/analytics frameworks to deal with complex parameter space using machine learning methods such as Structured Bayesian Optimisation and Reinforcement Learning. She received her Ph.D. degree from the University of Cambridge. Previously, she worked with IBM (US, Japan, Italy and UK).