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My main expertise is in building large-scale distributed systems for processing massive datasets. Prior to joining UCLA, I was a Principal Scientist at Microsoft in the Cloud and Information Services Lab (CISL), and a Research Scientist at Yahoo!. Prior to my graduate studies, I was a software engineer at Oracle (Server-Technologies Division) and at Sybase. These industry experiences have led me to focus on database and distributed systems technologies. My current research aims to unify a suite of large-scale data processing tasks on a single runtime layer, built on modern resource managers (“cloud operating systems”). The goal is to factor out commonalities in specialized systems and provide them in a single underlying runtime system, shortening the time to “market” for the next ready-to-use Big Data toolkit, which in turn will increase the availability of such tools to the broader community, impacting a broad range of scientific, engineering, national security, healthcare and business applications. I have open research positions for motivated graduate students interested in databases, machine learning, and cloud computing systems. The projects listed below offer enhanced opportunities for research-based advanced training in graduate studies. Prospective students should contact me with their CV and current UCLA status.