I am a Computer Science Ph.D. candidate in data management research group at Brown University. My research work spans building automated data analytics systems, building machine learning model validation tools, developing techniques to quantify and correct for any uncertainty/errors in end-to-end data analysis pipeline (e.g., data quality metric, unknown missing data items on analysis results and ML model generalizability). I work under the guidance of professor Tim Kraska and other committee members (Eli Upfal and Peter J. Haas).
I graduated from Cornell University with B.S. in Electrical and Computer Engineering and M.Eng. in Computer Science. During the M.Eng. program, I was supervised by professor Bernard Wong (a senior PhD student back then) and professor Emin Gun Sirer. Before coming to Brown, I worked as a systems engineer in the Korean IT industry and also as a machine learning researcher in academic research (with Professor Jee-Hyong Lee).