Hi! My name is Christian Navasca. I'm currently a PhD student at UCLA, advised by Prof. Harry Xu. I received my BS('18) in Computer Science from UC Irvine.
My research aims to improve the scalability and performance of Big Data systems and the runtime systems that they are built on. I help to design and implement techniques ranging from improving data transfer costs, to changing data representation, and even to improving dynamic compilation in JIT compilers. My work aims to challenge decades old assumptions in managed runtime design, and align them with the needs of Big Data workloads that are found today.
My current CV can be found here.