Education

Stanford University: Sep 2024 - 2030 (Expected)

  • Ph.D. in Computational & Mathematical Engineering (ICME)

Seoul National University(SNU): Mar 2018 - Aug 2024

  • B.S. in Mathematical Sciences
  • B.S. in Statistics (Double Major)
  • Mandatory Military from May 2022 - Feb 2024

Gyeonggi Science High School for the Gifted

March 2015 - February 2018

  • High school for the gifted in science and mathematics


Extracurricular Activities

GLEAP (Recognized student organization at SNU CNS), 2019-2021

Academic Activities and Exchange 
* GLEAP monthly academic seminar
* GLEAP X STEM (Student club in Engineering) academic exchange
* GLEAP academic exchange with KPF of KAIST 
* GLEAP international academic exchange with National Taiwan University (2019)
Educational Outreach 
* Talk-Talk Science Mentoring for local high school students
* Natural Science Camp (SNU CNS's mentoring camp for high school, Speaker of the Career Session)
Public Lectures 
* Natural Science Concert (GLEAP’s Public Lecture for High school)
* Monthly science column and card-news

Student Council

  • Student President of SNU Department of Mathematical Sciences, 2019-2020
  • Student Council of SNU Department of Mathematical Sciences, 2018-2020
  • Student Council of SNU College of Natural Sciences, 2018

SQRT (SNU Quantum Research Team), 2022-2023

  • Students academic club in Quantum computing
  • One of the starting member.

IBM Qubit by Qubit, 2020-2021

  • Quantum Computing online course by IBM Quantum

IBM Quantum Spring Challenge 2022

MASTA (Math & Stats student’s dance club), 2018-2019

  • Leader of the Club, 2019


Major Courseworks (SNU)

  • † : 1st Place in Class or Equivalently Outstanding Performance

Analysis & Applied Mathematics

  • Mathematical and Numerical Optimization†
  • Stochastic Differential Equations 1†
  • Introduction to Differential Geometry 2
  • Complex Function Theory 1 & 2
  • Introduction to Mathematical Analysis 1† & 2
  • Differential Equations

Algebra & Topology

  • Topics in Mathematics 1 - Topological Combinatorics†
  • Modern Algebra 1 & 2
  • Introduction to Topology 1 & 2
  • Linear Algebra 1 & 2
  • Number Theory†
  • Sets and Mathematical Logic

Statistics

  • Nonparametric Statistics
  • Data Mining Methods
  • Multivariate Data Analysis
  • Mathematical Statistics 1 & 2
  • Time Series Analysis
  • Concepts and Applications in Probability†
  • Statistical Computing

Computer Sciences

  • Introduction to Deep Learning†
  • Logic Design†
  • Algorithms
  • Automata Theory

Electrical Engineering

  • Neural Prosthesis

Biology

  • Introduction to Computer Science for Biologists†
  • Introduction to Bioinformatics

Philosophy

  • Artificial Intelligence and Philosophy†

Here is description of contents covered in my Undergraduate Coursework.


Skills

Programming Languages

  • R, Python, C, C++, Matlab

Languages

  • Korean, English