About me

I am working as a Data Scientist II at TAO BIN, specializing in bridging the gap between advanced algorithmic research and production-grade software. Expert in building end-to-end systems, including real-time recommendation engines and automated code analysis tools using Python. Proficient in leveraging a diverse range of machine learning techniques, including both supervised and unsupervised learning methodologies, across various data formats such as natural language texts, signals, time series, and source codes.

I formerly worked as a Specially Appointed Assistant Professor in Software Engineering Laboratory under the supervision of Professor Kenichi Matsumoto, Nara Institute of Science and Technology (NAIST). My research interests include empirical software engineering and mining software repositories. In detail, my research is focusing on the security vulnerabilities in software ecosystems, how developers react to vulnerabilities in their software projects. The ultimate goal of my research is to mitigate the risk of security vulnerabilities in software ecosystems.

Interests: Machine Learning, Operations Research, Software Quality, Software Ecosystem, Mining Software Repositories, Security Vulnerability, Social Network Data Mining

Contact: <firstname>.<lastname>{at}gmail.com