I am Postdoctoral Scholar in the Performance and Algorithms Research (PAR) group at Lawrence Berkeley National Laboratory. I research on improving the performance of large scale deep learning systems and parallel machine learning. Prior to joining the Berkeley Lab, I was a Postdoctoral Researcher in the Network Dynamics and Simulation Science Laboratory (NDSSL) at Virginia Tech, where I researched on developing parallel algorithms to perform efficient subgraph detection.
Ph.D. in Parallel Computing and Systems, 2016
Indiana University, Bloomington
M.Sc. in Computer Science, 2011
Indiana University, Bloomington
B.Sc. in Computer Science and Engineering, 2008
University of Moratuwa, Sri Lanka
High performance machine learning algorithms for multidimensional scaling and clustering, implemented in Java.
Over a million 16S rRNA and Fungi sequences clustered using novel multidimensional scaling techniques.
This is MIDAS