I am a postdoctoral scholar at the RISE Lab at University of California, Berkeley. My primary research interests are in sequential decision-making under uncertainty, spanning topics such as bandits, design of experiments, and Bayesian optimisation. For more details, see my publications.
I recently completed my PhD in Machine Learning at Carnegie Mellon University, where I was co-advised by Jeff Schneider and Barnabas Poczos. My PhD was generously supported by a Facebook fellowship (2017/18), a Siebel scholarship (2017/18), and a CMU Presidential fellowship (2015/16).
Prior to CMU, I completed my B.Sc in Electronics & Telecommunications Engineering at the University of Moratuwa, Sri Lanka.