I am a Reseach Assistant Professor in the Computer Science Department of Vanderbilt University. Previously,
I obtained my PhD in Computer Science from the University of Illinois at Urbana-Champaign while holding a research assistanship with the National Center for Supercomputing Applications funded by the Blue Waters project.
My research interests are in the broad area of performance optimization and resiliency for High Performance Computing, Clouds and distributed computing systems and applications. My research focuses on designing new runtime systems (including scheduling policies, I/O middleware, fault tolerance mechanisms and resource sharing policies) as well as analyzing and optimizing algorithms.
More recent, I have started working on computational data science in HPC, with a special focus on irregular applications. I am interested in understanding the computational needs of emerging new fields that do not follow the traditional HPC/Cloud models (like neuroscience and bioinformatics). Data-intensive computing and the HPC/Big-Data/Machine Learning convergence are also topics of interest.
Feel free to check out my work and if you have any questions, or would like to work together, don't hesitate to contact me.
Funding available for a graduate student in the Scalable Computing Laboratory team. The general topic is performance analysis and optimization (either working at the runtime/middleware or at the application level) for HPC scientific applications (sparse graphs, deep learning codes or neurscience specific applications).
Last update on January, 2020