• April 2025 - University of Hamburg, Hamburg, Germany

Postdoctoral Researcher

• September 2024 - March 2025 Seoul National University, Seoul, South Korea

Postdoctoral Researcher

• March 2017 - August 2019 Chonnam National University, Gwangju, South Korea

Researcher

• September 2019 - August 2024 Seoul National University, Seoul, South Korea

  Ph.D. in Statistics

  Title: Two-sample test using ReLU integral probability metric [URL] 

• March 2015 - February 2017 Chonnam National University, Gwangju, South Korea

  M.S. in Statistics

  Title: A study on the offspring distributions of Branching processes in the infectious diseases [URL] 

  Graduated with Honors (Outstanding Graduate representing the College of Natural Sciences)

• March 2009 - February 2015 Chonnam National University, Gwangju, South Korea

  B.S. in Statistics and B.A. in International Commerce (Double Major), Minor in Economics

  Graduated with Honors (Summa Cum Laude)

• ReLU integral probability metric and its applications. [URL]  [arXiv]
  Yuha Park, Kunwoong Kim, Insung Kong, Yongdai Kim.
  Published in Neural Networks, 2026.

• A nonparametric two-sample test using a parametric integral probability metric. [URL] [DOI] 
  Yuha Park, Yongdai Kim.
  Published in Statistical Analysis and Data Mining: An ASA Data Science Journal, 2026.

• GINN-F: A geo-physics-informed neural network for granular soils accounting for fabric anisotropy and particle shape.  [URL]
  Nazanin Irani, Mohammad Salimi, Yuha Park, Johannes Lederer.
  Published in Computers and Geotechnics, 2026. 

• Microstructure-informed constitutive modeling of granular media under multidirectional loading: From particle-scale to continuum. [URL]  
  Nazanin Irani, Pegah Golestaneh, Mohammad Salimi, Merita Tafili, Yuha Park, Johannes Lederer.
  Published in Communications Engineering, 2026. 

• Covariate balancing using the integral probability metric for causal inference. [URL]  
  Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim.
  Published in International Conference on Machine Learning (ICML 2023), 2023.

• Prediction of weights during growth stages of onion using agricultural data analysis method. [URL]
  Wanhyun Cho, Myung Hwan Na, Yuha Park, Deok Hyeon Kim, Yongbeen Cho.
  Published in Applied Sciences, 2020.

• Determination on environmental factors and growth factors affecting tomato yield using pattern recognition techniques. [URL]
  Yuha Park, Myung Hwan Na, Wanhyun Cho.
  Published in Multimedia Tools and Applications, 2019. 

• A study on optimal environmental factors of tomato using smart farm data. [URL]
  Myung Hwan Na, Yuha Park, Wan Hyun Cho.
  Published in The Korean Data & Information Science Society, 2017. 

• A study on MERS-CoV outbreak in Korea using Bayesian negative binomial branching processes. [URL]
  Yuha Park, Ilsu Choi.
  Published in The Korean Data & Information Science Society, 2017.