CV

Personal Information

• Birth: 18th September 1999, Republic of Korea
• Nationality: Korean
• Languages: Korean (native), English (fluent)
• Github: https://github.com/umkiyoung
• Linkedin: https://www.linkedin.com/in/kiyoung-om
• Contact: se99an@gmail.com, se99an@kaist.ac.kr
• Phone: +82-10-2575-5334

Education

• B.S. in Industrial Management Engineering, Korea University, Mar. 2018 - Feb. 2024
  • GPA: 4.02/4.5 (3.57/4.0), Major GPA: 4.19/4.5 (3.75/4.0)
• M.S. in Graduate School of Data Science, Korea Advanced Institute of Science and Technology (KAIST)

Awards and Honors

• Academic Excellence Award, Korea University (2022)
• Capstone Excellence Award, Korea University (2022)
  • Topic: Understanding the Lifecycle and Gap Technologies of Lithium-Ion Batteries
• Commander’s Commendation (2020)
  • Speech Contest on Practicing the Core Values of the Army and Showcasing Examples

Extracurricular Activities

• KUBIG, Regular Member (July 2022 - July 2023)
  • Zero-shot object detection using CLIP with Grad-CAM application
  • Vehicle hazard detection using YOLOv7
  • Prediction of breast cancer lymph node metastasis AI contest
  • Algorithm trading/Backtesting with FinRL
• Solar Cell Lab - AI Industry-Academia Collaboration Program, AI application advisor (April 2023 - July 2023)
  • Prediction of Weighted-Average reflection of solar cells using panel images
  • Optimal Experimental Date and Efficiency Prediction of Perovskite Solar Cells based on Weather Forecast

Publications

Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function

Diffusion Alignment as Variational Expectation-Maximization

Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization (CiBO)

Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization (DiBO)

Teaching

Teaching Assistant on IE343 Statistical Machine Learning

Deep Learning Programming Study