CV

A pdf version CV.

Education

• Ph.D. in Statistics, Texas A&M University, 2021 - Present.
  • Advisor: Dr. Anirban Bhattacharya.
  • GPA: 4.0 / 4.0
• Master in Mathematics, Texas A&M University, 2023 - Present.
  • Advisor: Dr. Jonathan W. Siegel. Co-working with Dr. Stephan Wojtowytsch.
  • GPA: 4.0 / 4.0
• B.A in Economics and B.S. in Statistics, Seoul National Univeristy, 2013 - 2020.
  • Minor in Computer Science and Engineering.
  • Graduation with Honors (Summa Cum Laude).
  • Conducted Mandatory Military Service during the undergrad (2014 - 2016).
  • GPA (Overall, Major / Total): 3.96, 4.09 / 4.3

Work experience

• NSF Math Sciences Graduate Internship.
  • National Institute of Standards and Technology (NIST), Gaithersburg (2023.05.22 - 2023.07.28).
  • Supervisor: Dr. Günay Doğan.
  • Topic: Geometric shape analysis.
• Research Resident, KC-ML2 (2019.05 - 2021.02).
  • Supervisor: Dr. Chan Y. Park.
  • Research in Graph Neural Network and Reinforcement Learning.
    • My blog post about Graph Neural Network and GraphDB.
• Software Engineer Intern, Naver Webtoon (2018.07 - 2018.08).
  • Implemented HBase API for log-data processing, and compared the performance with SQL based API codes.

Skills

• Programming Languages: Python, R, C, Java, C++, Assembly (x86-64).
• Libraries & Framework: Pytorch, Rcpp, Linux, Git, SQL, Latex, HBase.