I recently completed my PhD in Machine Learning in the School of Computer Science at Carnegie Mellon University, where I was co-advised by Jeff Schneider and Barnabas Poczos. Prior to CMU, I completed my B.Sc in Electronics & Telecommunications Engineering at the University of Moratuwa, Sri Lanka.

My primary research interests are in sequential decision-making under uncertainty, spanning topics such as bandits, design of experiments, and Bayesian optimisation. In addition, I also work on nonparametric statistics, graphical models, Gaussian processes, and spectral methods. As of late, I have also hopped on the deep learning bandwagon. For more details, see my publications.

My PhD was generously supported by a Facebook fellowship (2017/18), a Siebel scholarship (2017/18), and a CMU Presidential fellowship (2015/16).


GHC 8213
Machine Learning Department
School of Computer Science
Carnegie Mellon University
5000, Forbes Ave.   Pittsburgh, PA 15213

email:   kandasamy [at] cs (dot) cmu {dot} edu