Various stuff. Academic or not.
My final year project as a statistics student is Visualizing Big Ranking Data, supervised by Dr. Philip Yu.
Dr. Yu also kindly asked me to co-author two newspaper articles with him in the summer I graduated. Our two (popular-science-style) articles were published in the Hong Kong Economic Journal. They are both in Chinese.
Their webpages for your interest: [1st article: big data] [2nd article: data visualization]
By the way, I also made this for the data visualization article. It projects China's GDP data (downloaded from the Chinese National Database) to a globe. In the end, we did not use it though. : P
During my final year as an undergraduate, I worked in Prof. Francis Chin's lab on drug repositioning. The results were presented at the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2014 in Belfast, UK as a conference paper. It was then published as a journal article in Methods. The source codes we used could be downloaded via this page.
The slides I used in my BIBM presentation: [PowerPoint ver.] [PDF ver.]
The above drawing dates back to summer 2014 — I drew it on the little white board next to my seat in Prof. Chin's lab. The photo was taken on my final day there, before I finally swiped it off.
I really enjoyed my stay in Prof. Chin's lab. I made plenty of friends and learned a lot (apart from algorithms and things about research) there. I deeply appreciate all the lab mates' help and advice, and Room 412, CB would always be one of the most special places for me at HKU.
My first project as a Ph.D. student is regarding to genetic risk prediction (GRIP). More specifically, I looked into the performances of different SNP pre-selection methods when used with the polygenic score approach and LASSO via simulation studies.
Some of the results were presented as a poster at the 2015 International Workshop on Statistical Genetic Methods for Human Complex Traits. Additionally, this page contains some interactive visualization of the simulation results.
The next project in my Ph.D. career is regarding to the analysis of longitudinal magnetic resonance imaging (MRI) data of the human lumbar disc.
In the data set, a cohort of 1288 southern Chinese probands was followed longitudinally with MRI scans. The MRI features associated with lumbar disc degeneration (LDD) measured over 2 time points are the phenotypes for analysis.
I performed contingency table analysis and fitted continuous time structural equation models on the data, leading to some conclusions regarding the etiology of LDD.
Some of the results were presented in a poster for a site visit.
My current Ph.D. project is regarding to the analysis of metabolomic data and its integration with genetic and phenotypic data.
I first performed genome-wide association studies (GWAS) on the serum 1H NMR spectroscopy data of a population cohort and calculated polygenic scores for all the metabolomic features based on the GWAS summary statistics. By integrating and performing statistical analyses on the metabolomic and magnetic resonance imaging data, I try to gain insights regarding how genomic, phenotypic and metabolomic data influence and interact with one another.
I attended the Open Data Day 2017 Hong Kong Hackathon and worked with Yuqiong Li and Yue Zhao on analyzing Donald and Ivanka Trump's Tweets.
The slides we used: [PDF ver.]
The work also resulted in an article (in Chinese) published via Initium Lab.
We are planning to work more on this (since it is obviously fun) and please feel free to drop me an email if you are interested!
I have given a workshop on the very basics of R in the basic research skills seminar series organized by the Centre for Genomic Sciences, HKU.
Materials: [Slides] [Handout] [R script]
Cody is a short text-based game (or rather, simulator) of a trans college student in transition created using Twine 2. To proceed in this game, click on the hyperlinks in text (in blue color). Earphones are strongly recommended.
This was originally made in around 16 hours as an entry to the Sónar + D Free Tickets Contest (theme: freedom) organized by HKUGE.
Freedom, by definition, is the ability of doing what one desires. It is very unfortunate that trans people (and / or people with gender identity disorder) are deprived of this freedom (of acting according to his / her / their self-identified gender) at birth. This short simulation is not realistic at all in that it is far too optimistic, but it is already much harder than a cis-person's everyday life (given all other conditions are equal). I asked several friends to beta-test for me, and they all got the "bad" ending first.
This game does have an "ending" on a slightly brighter note, and I would really appreciate it if you could stick with Cody until the very end. Thank you for your interest in this game, and have fun.