CV
Education
- Ph.D in Statistics, Purdue University, 2021-2024 (expected)
- M.S. in Statistics, Seoul National University, 2017-2019
- B.S. in Statistics, Seoul National University, 2013-2017
- B.A. in Economics, Seoul National University, 2013-2017
Professional experience
- VivityAI: Fall 2022 - Present
- Data Analyst — Seoul, Korea (remote)
- Duties includes: Develop AI predictive models to improve the quality of smart factory manufacturing system (academia-industry collaboration)
- Supervisor: Prof. Kiseop Lee
- Asan Medical Center: 2019 - 2020
- Research Assistant — Seoul, Korea
- Duties included: Proposed efficient deep learning algorithms for classification and segmentation tasks in pathology image analysis
- Supervisor: Prof. Chan-sik Park and Prof. Jin Roh
- LG CNS: Winter 2018
- Smart Factory Intern — Seoul, Korea
- Duties included: Analyzed LG Innotek battery production data to address a defect identification problem under class imbalance during Smart IT internship in AI&Big Data department
Honors and Awards
- Academic Honors
- Department nomination of IBM PhD Fellowship Awards (pending; August 2024)
- Outstanding Teaching Award for Teaching Assistant, Purdue University (April 2024)
- Recognition Award for Efficiency Improvements, Purdue University (April 2024)
- Graduate Student Instructor scholarship, Seoul National University (Fall 2018)
- Academic Scholarship for Excellent Students (2013-2014, 2018)
- Travel Grants
- ASA 2024, CEPAR 2023, SIAM 2023, WISP 2022, Emily and Paul Kidwell Graduate Student Excellent Award 2022
Service and leadership
- Session Organizer
- Co-organized an invited session “Data-Driven Methods in Financial Markets” at JSM 2024, Portland, Oregon August 2024
Skills
- Programming languages: Python, R, MATLAB, Julia, C/C++, JAVA
- Statistical analysis tools: Excel, SPSS, SAS
- Languages: English (fluent), Korean (native)
