Cirriculum Vitae

Sangwoong Yoon

A PDF version of my curriculum vitae can be accessed here (last update: Apr 27, 2025).

Education

  • 2020 - 2023. Ph.D. degree at Robotics Laboratory, Dept. of Mechanical Engineering, Seoul National University
    • Advisor: Prof. Frank Chongwoo Park
    • Thesis: Energy-Based Probabilistic Models for Epistemic Uncertainty Quantification
    • Outstanding Doctoral Dissertation Award
  • 2016. M.S. degree in the Interdisciplinary Program in Neuroscience, Seoul National University
    • Advisor: Prof. Byung-Tak Zhang, the professor of computer science and engineering
    • Thesis: Adaptive Bayesian Optimization for Organic Material Screening
  • 2013. B.S. degree in Chemical and Biological Engineering, Seoul National University
    • Graduated cum laude
  • 2008. Gyeonggi Science High School
    • Valedictory honor granted by the Gyeonggi province governer

Work Experience

  • Jan 2025 - Present Research Fellow at University College London
  • Sep 2023 - Jan 2025 AI Research Fellow at Korea Institute for Advanced Study (KIAS)
  • 2022 Applied scientist intern at Amazon.com
    • Research on incorporating uncertainty information into large language models to improve click-through rate prediction.
    • Received ``inclined to hire" evaluation.
  • 2019 - 2020 Research scientist intern at Kakao Brain
    • Working on Content-based Image Retrieval using Graph Neural Networks
  • 2018 - 2019 Researcher at SNU Robotics Lab & Saige Research Inc.
    • Developed surface inspection algorithms based on deep learning
    • Worked on nonparaetric information estimation
  • 2016 ~ 2018 Haezoom, Inc. The lead of machine learning team
    • Led a team of five to develop machine learning solutions for solar power plants
    • Developed a data processing pipeline system which continuously processes data from weather stations, satellites, numerical weather forecast systems, and solar power plants
    • Developed fault detection system for solar power plants and solar power generation forecasting system
    • Developed future cloud movement prediction algorithm based on 3D convolutional neural networks

Publications

Check out my Google Scholar.

Patents

  1. Oh-Hyun Kwon, Jung-Seok Hyung and Sangwoong Yoon, Method, Server, and System for Detecting Abnormality of a Power Plant using Solar Energy, the Republic of Korea patent, KR101775065B1, applied in Aug 5, 2016, granted in Sep 6, 2017.
  2. Oh-Hyun Kwon, Jung-Seok Hyung and Sangwoong Yoon, Method and Server for Forecasting Generation of a Power Plant using Solar Energy, the Republic of Korea patent, KR101808047B1, applied in Aug 5, 2016, granted in Dec 14, 2017.

Professional Services

  • Served as an area chair in NeurIPS 2025
  • Served as a reviewer in NeurIPS, ICML, ICLR, AISTATS, AISTATS, ACML
  • Volunteered as a website admin for the second Korea-Japan Machine Learning Workshop
  • Volunteered as a staff in PYCON KR 2015 and PYCON APAC 2017

Awards

  1. Outstanding Doctoral Dissertation Award (2023)
  2. Qualcomm AI Fellowship Korea (2021)
  3. Youlchon AI Stars Fellowship (2021)
  4. Best poster presentation award (gold prize, the first place) at THE AI KOREA 2019
    • Poster title: Kullback-Leibler Divergence Estimation using Variationally Weighted Kernel Density Estimators
  5. Four-year full tuition scholarship granted by Korea Student Aid Foundation (2008 - 2012).