About me

HI! I’m Doyeon Yoon, who likes math and is studying artificial intelligence. I mainly studied combinatorics in math and anti-bandwidth in graph structures.

I’ve been interested in a variety of fields, including finance, healthcare, and I can understand the key considerations in those fields.

Recently, I am interested in NLP, graph domain, and recommendation systems. I am studying with the next goal of achieving results through the combination of graph theory and deep learning. Thank you! 😍


Interests🙄

  • Math : Graph theory, Anti-bandwidth
  • DL/ML : Medical Segmentation, Financial
  • Studying : NLP, GNN, Recommend System


Education🎓

  • I received the M.S. degrees, in Department of Mathematics from Kwangwoon University, Seoul, Korea, in 2017.(Go to thesis)
  • I received the B.S. degrees, in Department of Mathematics from Kwangwoon University, Seoul, Korea, in 2015.


ETC. Project 📚

AI·Big Data 인재양성 심화과정

포항공과대학교 인공지능연구원 PIAI(구 PIRL), Pohang
(2018.09 - 2018.10)

  • Participated as a team leader on a machine learning project team, developing machine learning model, called a Senticle, which is a stock price prediction model using news data.
    • NLP model using the ensemble of 1DCNN and LSTM(Go to code)
    • Model description using LIME


부스트캠프 AI Tech

네이버 커넥트재단
(2021.01.12 - 2021.06.22)

  • Participated in deep learning training, conducted 20 weeks of training and 4 contest-type project hands-on practice


Experience👨‍💻

Machine Learning Engineer

Hbee. Hwaseong-si, Gyeonggi-do
(2019.06.17 - 2020.03.13)
Worked on various machine learning related tasks, including but not limited to:

  • Anomaly detection in semiconductor process.
    • Stacked Auto-Encoder with short time series
    • Semi-supervised GAN with image data

Research Intern

포항공과대학교 인공지능연구원 PIAI(구 PIRL), Pohang
(2018.11.01 - 2018.12.31)
Worked on various machine learning related tasks, including but not limited to:

  • Medical image segmentation with 3D U-net(Go to code)
  • Semi-supervised learning