This is my personal website, made by me! I'm a 4th year student at McGill University, joint major in Computer Science and Biology and a minor in neuroscience. For the 2021-2022 year, I'm the CS/Biology representative for McGill's Computer Science Undergraduate Society executive council. I'm also a core member at the McGill Student Association for Collaborative Mental Healthcare (CMH).
I am currently an undergraduate researcher at the Analytical Neurophysiology (ANPHY) lab at the Montreal Neurological Institute working on automatic cortical arousal detection in PSGs.
I was an undergraduate researcher at the Turecki lab - McGill Group for Suicide Studies - at the Douglas Mental Health Research Institute for 8 months. I have also interned as a summer student at Seoul National University.
Mainly, I am interested in the fields of Computational Neuroscience, Machine Learning, and Mental Health research. The ultimate goal is to shape a career towards computational medicine or BCI.
Develop and optimize method for nuclei sorting from post-mortem human brain tissue. Use DNA methylation measurement from sorted nuclei to investigate molecular changes in depressed individuals. Research conducted at the Turecki lab, McGill Group for Suicide Studies.
Automatic analysis & report generation with GUI using a JavaFX frontend and Python backend: Calculate and linearize DNA concentration from Picogreen protocol of 96 individual recordings.
Basic NifTI and DICOM image processing with R and FSLR: binary masking, backmapping, bias field correction, and linear transformation of MRI images.
My given name is Joon Hwan Hong, and my anglicized name is Justin Hong. I grew up in Ontario, Canada, and I am currently studying at McGill University. I enjoy watch tinkering as a hobby, changing watch straps, hands, dials, and crystal to interesting designs for me to wear. On a artistic note, I enjoy playing piano and drums; and I am also part of McGill's Redpath Museum Society, where I volunteer on an occasional basis.
Here are some things I am interested in:
Computer Science is a powerful tool to help us tackle biological questions, from protein structural prediction to systems biology. I would like to learn this beyond the classroom setting.
Processing EEG, MEG, and Polysomnography data with learning algorithms to classify and further understand the human physiology is one of my great interests.
Imaging genetics use neuroimaging techniques as phenotypic assays to evaluate genetic variation. I am interested in its potential use in depression research and other mental disorders.
Natural language processing, database organization, and optimization of health informatics systems is a topic I have an interest learning.
If you have any inquiries on my works, projects, resume, or any other information, feel free to contact me by Email or Social Media.