Cirriculum Vitae

Sangwoong Yoon

A PDF version of my curriculum vitae can be accessed here (last update: Nov 18, 2024).

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

  • Sep 2023 - Present 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 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. 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
  2. Four-year full tuition scholarship granted by Korea Student Aid Foundation (2008 - 2012).