I am a data scientist at ABEJA, Inc., Japan, where I am part of the Insight for Retail development team.

Previously, I was a postdoctoral research associate with Professor Stacy Patterson at Rensselaer Polytechnic Institute (RPI).

I received my Ph.D. in Computer Science from RPI, where I was awarded with the Robert McNaughton Prize for outstanding performance as a graduate student in Computer Science. I was a member of the Worldwide Computing Lab, and advised by Professor Carlos A. Varela and Professor Stacy Patterson. Before joining RPI, I received my B.S. and M.Eng. from Tokyo Institute of Technology.

Research

My current research interests include data streaming, distributed systems, and cloud computing. In particular, my Ph.D. dissertation focuses on QoS-aware elastic virtual machine scheduling.

Skills

• Cloud resource management: cloud services (Amazon Web Services, Google Cloud), performance modeling of distributed applications, benchmark automation, time-series analysis, resource scheduling
• Distributed systems: Apache Storm, Kafka, Spark, Hadoop
• Programming languages: Java, Python, C, bash, SQL, JavaScript, Octave
• Domain-specific programming language design and development: JavaCC