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.
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

Jiyoung Park, Ian Pelakh, Stephan Wojtowytsch (2023). “Minimum norm interpolation by perceptra: Explicit regularization and implicit bias”. Neurips 2023. Paper, Slides.

NSF Math Sciences Graduate Internship.
- National Institute of Standards and Technology (NIST), Gaithersburg (2023.05.22 - 2023.07.28).
- Supervisor: Dr. Gunay Dogan.
- Topic: Geometric Uncertainty Quantification in Image Segmentation (Work in Progress).
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.
Undergrad Intern, Seoul National University.
- Biostatistics Lab (2019.03 - 2019.08).
  - Autoencoder based Anomaly Detection Algorithm Project. Participated in Data processing.
  - Advisor: Dr. Myunghee Cho Paik.
- Time Series and Predictive Analytics Lab (2018.12 - 2019.02).
  - RNN based Air Pollution Prediction.
  - Advisor: Dr. Sangyeol Lee.
- Spatial Statistics Lab (2017.12 - 2018.02).
  - Hierarchical Bayesian Regression for Korean Schizophrenia data.
  - Advisor: Dr. Chae Young Lim.