Park Jong Won
Papers & Reports
Published
Deep Learning, NLP
Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature
A novel BERT structure to assimilate the learning mechanism of humans via active learning and knowledge consolidation.
Deep Learning, CV
Application of Convolutional Neural Network on Beekeeping
Detecting and tracking honeybees with advanced CNN network and my custom dataset.
Deep Learning, RNN
Integrating Recurrent Neural Network into Technical Analyses of Stock Market
Using LSTM to predict the near-future price trend of Bitcoin with data only.
Neuroscience, Review
Review of Parkinson's Disease
Brief research on Parkinson's Disease, my final paper for Anatomy & Physiology class.
Interests
Machine Learning
Computer Vision (CV)
Natural Language Processing (NLP)
Deep Neural Network
Neuroscience
General
Blockchain
Decentralized Finance
My Project Collection
Websites
Portfolio
Park Jong Won
Personal website to showcase my papers and projects and a playground to experiment with new designs and features. Since 2013.
Newspaper
Deerfield Scroll
I modernized Deerfield's student-led newspaper website to enable better interaction and promote online presence. Since late 2019.
Coronavirus
CovidNow
I wanted to provide a convenient website to get the latest data and reports on COVID-19. Since early March 2020.
Acquired by a startup
URL
Linky.at
The desire for a fast and human-readable url shortener pushed me to create this system. Since mid 2018.
Renovating
School
ACS Check System
The need to create a unified website to manage disciplinary checks (for my old school) led me to create this website. The school has replaced its check system with another disciplinary system.
Mobile Apps
Finance
Wallet Hero
Smart Subscriptions
Renovating
API
Library
Stock Market
Technical Indicators
Widely used technical indicators written in Javascript`
JavaScript Parallax
Scrollar
Super lightweight and awesome vanilla javascript parallax scrolling library to address some issues in other similar libraries
My Story
Bosingak Bell
Profile Picure
63 Color of Art
I was born in Korea in 2002 and began my life abroad at ten years old. Since then, I have moved around four different cities and finally arrived at Deerfield Academy as a new junior in 2019.
I started coding at 11 years (2013) old when I got my first laptop. Starting around 2015, I have studied and worked furiously on mastering website design and developing.
In late 2017, I encountered the field of machine learning (ML) while venturing deeper into the programming world (in an attempt to make apps). My first real-life application of ML was predicting the price trend of Bitcoin using LSTM.
Since then, I have trained my python skill and read numerous research papers on ML, especially around computer vision (CV), to culmulate knowledge and join the growing community of ML in CV. My ultimate goal is to contribute in developing state-of-the-art ML in CV, especially relating to biology, to aid in human civilization.
Coding in
Web
Node.js
Python
Golang
C++
PHP
MySQL
PostgreSQL
Contact Me
