Who Am I

My name is Jaehyuk Heo (a.k.a TooTouch). One day, my friend told me that I look like a mole reads “tootouch” in Korean pronunciation, and since then, my nickname is TooTouch. Actually, I’m not sure I look like a mole. :)

Research Interests

My research interests are interpretable artificial intelligence and computer vision. The goal is to make machine learning easy for anyone to understand and use. Through a machine learning model that people can understand, i want to create a service that can provide good results at a low cost for many protected people who are unable to access quality services.


Korea University

  • MS: School of Industrial Management Engineering, March 2021 ~

The University of Suwon

  • BS: School of Applied Statistics (Advisor: Prof. Jinheum Kim), March 2013 - August 2019
  • Major GPA of 4.43 / 4.5
  • Total GPA of 4.18 / 4.5 (95 / 100)


[1] Heo, J., Park, S.J., Kang, S. et al. Prediction of Intracranial Aneurysm Risk using Machine Learning. Sci Rep 10, 6921 (2020). [paper]

[2] An, S., Kim, T., Oh, C. W., Bang, J. S., Lee, S. U., & Heo, J. (2019). Vascular tortuosity of the internal carotid artery is related to the RNF213 c. 14429G> A variant in moyamoya disease. Scientific Reports, 9(1), 1-7. [paper]

[3] Kim, T., Heo, J., Jang, D. K., Sunwoo, L., Kim, J., Lee, K. J., … & Oh, C. W. (2019). Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network. EBioMedicine, 40, 636-642. [paper]

Work Experience

Data Scientist Intern, July 2019 - September 2019

  • Planning and Operation of the Data Science Competition. [website]

Seoul National University Bundang Hospital
AI Researcher, July 2018 - May 2019 (Advisors: Prof. Tackeun Kim)

  • Study on the Problem of Brain Neurological Diseases through Machine Learning [website]

Statistical Research Institute in the University of Suwon
Research Intern, June 2016 - June 2018 (Advisors: Prof. Seokhoon Yun)

  • Investigation of Disease and Damage of Farmers and Fishermen by Rural Development Administration and Ministry of Oceans and Fisheries

Honors amd Awards

Korea Consumption Trend Visualization - 1st
KDX (Korea Data eXchange), October 2020

  • Korea consumption trend visualization contest sponsered by National Information Society Agency (NIA).
  • We prized 3,000,000 won and took 1st rank among 86 teams

Bigcontest 2019 Champion League - 2nd [pdf][reviews]
National Information Society Agency (NIA), July 2019 - September 2019

  • Data analysis contest sponsored by the Ministry of Science and ICT Predicting users churn considering residual value of users through the activity of Lineage users.
  • We prized 3,000,000 won and took 2nd rank among 1,362 teams


Presentation Deep Learning Workshop at SNUBH
June 2019

  • Seminar for doctors and nurses interested in deep learning in the Seoul National University Bundang Hospital Presented basic concepts of deep learning and hands-on course

Mentoring Program at the University of Suwon
September 2016 - December 2017

  • Worked as a mentor in basic statistics at the Center for the Development of Teaching and Learning at the University of Suwon Covered probability distribution, statistical inference, regression, analysis of variance, non-parametric statistics and time series analysis Teaching over 30 students twice a week answered questions in person and online and marked assignments

Military Service

Korean Army, Republic of Korea
June 2014 - March 2016

  • Served as a police officer in Seoul


Translation of the Interpretable Machine Learning
December 2019 - Fabruary 2020

  • Translated Christoph Molnar’s Interpretable Machine Learning book Translation in Korean [blog]

White Box in Computer Vision
October 2019 - January 2020

  • Implement using Pytorch for the explainable methods studied in the computer vision Registering packages as tootorch with The Python Package Index [code][PyPI][slide]

Cosmetic Recommendation for Man
October 2019 - January 2020

  • Composition of cosmetic recommendation dashboard for men using cosmetics review data [code][slides]

KBO Scouting Challenge
March 2019 - May 2019

  • KBO Foreign picher data to analyze the recommendation of scouting in 2019 3rd place among 15 teams [leaderboard]

KBO Baseball Data Challenge
Fabruary 2019 - March 2019

  • Prediction of KBO regular league hitters’ OPS in 2019 7th place among 115 teams [leaderboard]

Segmentation using 3D convolutional neural network
October 2018 - January 2019

  • Medical Image Segmentation using 3D convolutional neural network in Modulab [pdf][code]

Technical Skills

Advanced : Python
Moderate : HTML, CSS, R, SQL
Novice : C, SAS

Other Leadership and Activites

Data Science Comunity
Data Network Analysis, DNA, August 2019 - Present

  • Host of community for those interested in data analytics Periodically share information and projects through workshops and meetings with 10 members [notion][blog]

Artificial Intelligence College
ModuLabs, October 2019 - May 2020

  • Research of explainable artificial intelligence research in Computer Vision [website]

Online Courses

Google Advanced Machine Learning Study Jam
Google Korea, June 2019 - July 2019

  • End-to-End Machine Learning with TensorFlow on GCP in Coursera [certification]
  • Production Machine Learning Systems in Coursera [certification]