Hau Man Chu (“Lanston”) is a graduate student in machine learning and signal processing at the University of Wisconsin–Madison. He is interested in convolutional neural networks (CNN), numerical computation and image processing. Lanston holds a bachelor’s degree in mathematics and a master’s degree in actuarial science. Before coming to the US, he was working as a pricing actuary in Hong Kong and Singapore. He is also a history buff and a keen traveler who has been to more than 40 countries.
Computational Essay: From Riemann Zeta Function to Riemann Hypothesis
Project: Machine Learning on Social Events: Cluster-Tree-MLE Analysis on Gun Protests Diffusion in Space-time Metric Space
The study finds a significant relationship between the boundary of protest clusters and mass shooting cases. Jump pattern of protest can be fitted by exponential distributions. Two main drivers (i.e. geographical diffusion and burst) are noted, acting in the long and short timeframes respectively.