General Information

Full Name Wonseok Shin (Korean: 신원석)
Contact wsshin@theory.snu.ac.kr

Education

  • 2022.09-Present
    Seoul National University
    • MSc in Computer Science
    • Advisor : Professor Kunsoo Park
  • 2018.03-2022.08
    Seoul National University
    • Graduated with summa cum laude, recieved the undergraduate thesis award
    • BSc in Computer Science and Engineering (Major GPA 3.91 / 4.3)
    • BSc in Mathematical Science (Double Major GPA 4.07 / 4.3)
  • 2015.03-2018.02
    Sangsan High School

Experience

  • 2022.01-2022.07
    Research Internship @ Aigendrug Co.Ltd
    • Efficient subgraph search on molecule graph data
    • Advisor : Professor Sun Kim, Dr. Sunho Lee
  • 2020.08-2021.04
    Undergraduate Research Opportunity Program @ SNU Computer Theory Lab
    • Improved adaptive matching order for subgraph isomorphism
    • Advisor : Professor Kunsoo Park

List of publications (Link)

Honors, Awards and Scholarships

  • Scholarships
    • 2020 National Scholarship For Science and Engineering
  • Awards
    • 2022 Bachelor's Thesis Award, Department of CSE
    • 2021 Korea Computer Congress, Best paper award (Computer Theory)

Teaching

  • TA/Tutor
    • 22 Fall, Automata Theory Teaching Assistant
    • 21 Fall, Algorithms Undergraduate Teaching Assistant
    • 20-21 Winter, Introduction to Computing - First Course in Computing Undergraduate Tutor

Programming Competitions

  • Global
    • Google Hash Code 2022, 106th place (Top 1% among ~10,000 teams)
    • Google Hash Code 2021, 211st place (Top 2% among ~10,000 teams)
    • Google Hash Code 2020, 468th place (Top 5% among ~10,000 teams)
    • Google Codejam 2021, 504th place (Advanced to round 3, Top 1.5% among 37,000+)
  • Domestic
    • ICPC 2021 Korea First Round 18th place (Team Little Piplup)
    • ICPC 2020 Korea First Round 26th place (Team Swift Turtwig)
    • SNUPC (SNU Programming Contest) 2021 Div.2 6th place
    • SNUPC 2020 Div.2 7th place
    • SNUPC 2019 Div.2 9th place

Skills

  • Languages: Korean (native), English (fluent)
  • Programming languages: C++, Python, JAVA, MATLAB
  • Deep Learning: Pytorch
  • Tools: Git, LaTeX