I am feeling comfortable with collecting, storing, processing, analyzing and visualizing big-data workloads up to several Terabytes per day. Specifically, my research has long been focused on characterizing, tuning and optimizing big-data applications such as Hadoop MapReduce, Giraph Pregel, Graphlab, etc. I am also expertise in novel programming models that address and support the needs in cloud computing, such as elasticity, concurrency, streaming and real-time. My previous work primarily focuses on managing and orchestrating virtualized resource provisioning for fluctuating workloads in elastic cloud platforms. I’ve been extensively exposed in different scientific domains, such as gravitational-data analysis (the MIT LIGO project), genome sequencing data analysis (the UChicago Globus Genomic project) and computing platform data analysis (The IBM Watson project).