Who am I
A Biomedical Engineering student at the University of Waterloo with programming experience in Python, Java, C#, C++, and MatLab.
I am passionate about clinical applications in Computational Neuroscience, Artificial Intelligence, Brain Computer Interfaces, Neuroimaging, and Neuroprosthetics.
- Birthday: August 15, 2001
- Phone: (647) 834-6509
- City: Waterloo, Canada
- Degree: BASc. in Biomedical Engineering (Exp. Apr. 2025)
- Email: j97kang@uwaterloo.ca
- Status: Seeking Graduate School Opportunities
Background
I was born in an island in South Korea called Jeju Island.
I went to the United States of America and attended school there from Grade 1 to Grade 5 in Texas and South Carolina.
I went back to Korea for Grade 6 to 8, and came to Canada in Fall 2016 to attend High School and University.
I am currently a Biomedical Engineering student at the University of Waterloo seeking graduate school opportunities.
I make amazing food!
Experiences
Machine Learning Research Student
The Hospital for Sick Children - Ibrahim Lab | April 2024 - Current
- Developing a CNN-transformer combined architecture for classification on T1-weighted brain MRI images of response to neuromodulation treatment
- Developing an algorithm to classify impulsiveness using intracranial EEG data
- Developing a product for closed-loop auditory stimulation to enhance sleep quality and improve cognitive function in home environments by increasing slow-wave sleep oscillations for children with epilepsy
- Designing cognitive testing games in Python to measure the quality of sleep of patients as a validation metric of the closed-loop stimulation
Image Processing Research Assistant
PhotoMedicine Labs - University of Waterloo | May 2023 - December 2023
- Assited in developing a Python-based filtering technique to replicate human skin tissue dyeing to remove the necessity of skin tissue dying ultimately reducing cost for cancer detection algorithms
- Constructed algorithms for skin tissue dye normalization and color deconvolution
Research and Development Intern
Hygienic Echo | May 2023 - August 2023
- Spearheaded the development of a chat bot to user interaction platform by fine tuning and training various Large Language Models such as OpenAI GPT, AWS Lex, and Cohere
- Created image processing tools to facilitate patient behaviour classification, as well as customer hygiene monitorization by utilizing Convolutional Neural Networks
DevSecOps Software Engineer
The Co-operators | September 2022 - December 2022
- Spearheaded the automation of error monitoring and bug scanning for server and user login failures for 10000+ clients, resulting in a 90% reduction in weekly computation cost
- Scripted in Python, pipelined in Jenkins, and performed container-orchestration in Kubernetes
Undergraduate Research Assistant
Neural and Rehabilitation Engineering Lab - University of Waterloo | May 2022 - August 2022
- Lead the development of a terrain recognition system using LiDAR (Light Detection and Ranging) data
- Applied transfer learning on models including PointNet and RangeNet++, achieving 80% accuracy
- Built and tested a fusion prototype to advance context-aware wearable assessment of neurological diseases
- Leveraged CNNs and Autoencoders to encode patient data ensuring patient privacy
Deep Learning Researcher
Huawei Technologies Company Limited | January 2022 - April 2022
- Developed a user behaviour analysis tool for 200,000+ users incorporating few-shot meta-learning PyTorch models, ultimately achieving a 90% classification accuracy
- Enhanced various model accuracies by fine-tuning training parameters utilizing CUDA
Data Scientist
Environment and Climate Change Canada | May 2021 - August 2021
- Constructed classification programs in Python to predict precipitation type
- Developed pre-processing algorithms utilizing Xarray and pandas to analyze CSV and NetCDF files
- Produced reports and presentations on meteorological information gathered from various datasets
Personal Projects
Click Images For Project Link
EEG Gaming & SSVEP Speech
March 2022 - June 2022
- Architected EEG Brain-Computer Interface to play Flappy Bird with alpha/beta waves as input
- Built verbal communication system with steady state visually evoked potentials and OpenAI text completion API
- Designed and constructed analog circuit to amplify/filter brain waves in the 8-32Hz range
- Processed signals on Raspberry Pi using Python to apply FFTs, calculate signal power, visualize data, and build interfaces
Naruto Hand Sign Classifier
March 2022 - June 2022
- Developed a hand sign classification machine utilizing image detection through TensorFlow
- Utilized transfer learning through VGG16 and MobileNetV2's pre-trained weights from ImageNet
- Leveraged MediaPipe for hand landmark detection to localize segment for classification
- Ultimately achieved a 93.60% accuracy on test dataset and an 83.33% accuracy on live demo
Beat Slasher
December 2020 - January 2021
- Conceptualized a mobile rhythm game using Unity and C#
- Designed various sprites, scripts, and prefabs
- Worked collaboratively and managed version control using GitHub
Parkinson's Disease Detector
January 2020 - January 2021
- Implemented a Parkinson’s Disease Detector and displayed the process using Jupyter Notebook
- Experimented with various classifiers such as XGBoost and Random Forests, and Convolutional Neural Networks and ultimately achieved an accuracy of 82.05% on the test set
Pocket Piggy (Hack The North 2021)
January 2021
- Conceptualized a mobile budgeting learning app for children utilizing Android Studio
- Programmed backend features involving user’s id, password, chores, goals, and balance using Java
- Created various frontend features and designs utilizing Figma
Design Teams
University of Waterloo Biomechatronics
September 2020 - April 2021
- Designed and constructed a 3D printed prosthetic hand to be given out for donations
- Assisted in the item distribution process and examined quality of the printed designs for possible warps
University of Waterloo Data Science
September 2020 - April 2021
- Developed a sentiment classification algorithm
- Conceptualized a sentiment analysis app using Android Studio that ingests audio inputs to be stored for analysis
- Worked collaboratively on various features such as the recording component, as well a calendar view
- Implemented a variety of activities and fragments using Java and xml
- Created a wireframe and a prototype using Figma and managed the project using Notion
University of Waterloo Formula Electrics
September 2020 - April 2021
- Contributed in creating parts to assemble a racing vehicle to compete at the Formula SAE Electric competition
- Updated the dashboard design for the steering wheel and assisted in the construction of the pedal box
- Designed and constructed parts using various Solidworks features
Skills
Programming Languages: Python, Java, C#, C++, HTML, CSS, SQL, SPL, TypeScript, MatLab, SimuLink
Data Tools/Frameworks: PyTorch, NumPy, pandas, Xarray, TensorFlow, Keras, Scikit-learn, OpenCV, OpenAI, Cohere
Technologies: Solidworks, Figma, Android Studio, Unity, Jenkins, Splunk, Kubernetes, AWS
Gallery
Inspirations
Issac Newton
Mathematician
"If I have seen further than others, it is by standing upon the shoulders of giants"
Kyle Scenna (Future Billionaire)
Engineer
"When life gives you lemons, make orange juice"