Jongsu Kim

Machine Learning Research Engineer


Phone: +82 10-2019-8869


About Me

Hi, my name is Jongsu Kim, I’m a upcoming PhD qualified by a research background in machine learning and mathematical modeling focused on time series forecasting and computational fluid dynamics.

I have a strong coding ability both in producing clean and efficient code. Moreover, with mathematically modeling experience, I have strong analytic skills. I also enjoy learning and mastering new technologies.


Machine Learning and Deep Learning

Time Series forecasting, Natural Language Processing

Mathematical Modeling

Statistics, Computational Fluid Dynamics, Numerical Analysis


Python, Julia, C++, Fortran, MATLAB, HTML/CSS, TypeScript


PyTorch, Tensorflow, Keras, Flux.jl

Code and Code Quality Managing

Git, GitHub, Travis-Ci, Github Actions, pytest, tox

Server Engineering

Linux, High Performance Computing, Cloud Computing (AWS, GCP)


Yonsei University

Computational Science and Engineering

09/2011 ~ Current


Full time work

07/2010 ~ 08/2010

I learned Database management using C# and SQL.


Yonsei University, South Korea

PhD Computational Science and Engineering

09/2011 ~ Current

Expected defense data: Jun. 2021

Yonsei University, South Korea

BSc Atmospheric Science, BSE Computer Science

03/2007 ~ 08/2011


  • Gihun Shim, Jongsu Kim, and Changhoon Lee. Path instability of a spheroidal bubble in isotropic turbulence, Physical Review Fludis, Submitted
  • Particulate matter (PM) forecasting using machine learning method, Jongsu Kim, Changhoon Lee, in manuscript


[{“layout”=>”top-middle”, “title”=>”NVIDIA CUDAtm Coding Contest”, “sub_title”=>”BSc Atmospheric Science, BSE Computer Science\n”, “caption”=>”03/2010”, “description”=>”Designated Subject: Matrix Multiplication\n”}]

Open Source Contributions (WIP)