My name is Yoonsik Park. I completed my B.Sc. at the University of Toronto for Bioinformatics & Computational Biology and Computer Science. I am currently studying Medicine at the University of Manitoba.
I live in Winnipeg, Manitoba. I am currently interested in using Natural Language Processing models to better understand and summarize patient data.
I enjoy solving both biological and computer science problems. The process of synthesizing two different mindsets to produce novel solutions is extremely rewarding to me. Now, I am excited to explore the applications of machine learning to healthcare.
Hoppy NetworkMarch 2021
Hoppy is a tunneling service that allows for self-hosting of websites, email servers, and
other cloud services, even when behind a NAT or restrictive ISP. WireGuard is used to forward
a static IPv4 and IPv6 address range to devices. Check out
hoppy.network or read more about
for this service!
Adobe Cube LUT Image ToolDecember 2019
Cube LUTs are powerful filters used to alter the look and feel of images, but generally
require the use of proprietary software such as Adobe Photoshop. pycubelut was created to be the first free and easy
to use command-line tool for applying Cube LUTs to images. Download from PyPI or GitHub.
Predicting the Pathogenicity of Copy Number VariationsSummer 2018
In this project, multiple machine learning techniques (t-SNE, neural networks, XGBoost
trees) are used to understand how certain features of large DNA duplications or deletions can
predict disease outcome. The code repository and Jupyter notebooks are on GitHub.
Particulate Matter SensorOctober 2017
Check out the current air quality in my home! This project measures the level of particulate matter, i.e. very small particles suspended in the air, which have been linked to premature death, heart disease, and other serious health effects. The code for the sensors and the live graph is available.
Preparing Medical Students for the Impact of Artificial Intelligence on Healthcare. Canadian Federation of Medical Students AGM 2020. [PDF]
Genome Gerrymandering: Optimal Division of the Genome into Regions with Cancer type Specific Differences in Mutation Rates. Pac Symp Biocomput 2020. [PubMed] [PDF]
Back in the Freedom Dimension (Episode 398). Linux Unplugged Podcast. March 2021. [Link]
PGP Key: 49F4 C2D1 720F BD2E EA37 D2A3 D013 D029 499B 69D7