Hello, Harry
“A mathematician is a machine for turning coffee into theorems.” — Alfréd Rényi
Hello! 👋 I’m Harry.
Currently studying at the University of St Andrews in Scotland, focusing on Bayesian statistics and cluster analysis. When I’m not immersed in data or sipping coffee while contemplating the Scottish weather, I’m working on machine learning projects that bridge statistics and real-world applications.
My research spans from deep learning for bioinformatics to motion recognition systems. I believe in making complex statistical concepts accessible and applying rigorous mathematical thinking to solve meaningful problems.
Caffeinated thoughts and statistical insights await… ☕
Trying my best not to be a $\frac{d^3 x}{d t^3}$ (jerk)! Find me on , , , and .
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🧬 (2021) Primer C-VAE:
An Interpretable Deep Learning Primer Design Method to Detect Emerging Virus Variants. Master graduation project using convolutional neural networks and variational autoencoders to generate specific primers for SARS-CoV-2 variant detection. Updated: March 2025
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🏃♂️ (2019) Motion Recognition ML:
Motion Modal Recognition based on Machine Learning Methods. Undergraduate graduation project using IMU sensors to classify 8 types of human motions (walking, running, cycling, etc.) with various ML algorithms including CNN, RNN, and traditional classifiers.
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🚕 (2018) NYC For-Hire Vehicle:
A Comparative Study on the Behavior of Traditional Taxi and For-Hire Vehicle Based on Big Data. Analysis of NYC taxi and ride-sharing service patterns using TLC data, with R and Python implementations for data mining and visualization.
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🧪 (2017) Enhancers HMEC & MCF-7 Cells:
Research on the Recognition and Function of the Enhancers in HMEC and MCF-7 Cells. Bioinformatics study using DNase-seq and histone modification data (H3K27ac, H3K4me1, H3K4me3) to identify genomic enhancers in mammary epithelial and breast cancer cell lines.