Hi there! I'm Zé Vinícius, a PhD candidate at HKUST, in sunny Hong Kong, working with Prof. Daniel Palomar on interesting problems involving graphs and financial time series. More precisely, I design optimization algorithms using elements of graph theory and statistical learning theory to extract knowledge from networks of financial assets. Previously, I interned as a scientific software engineer at NASA in Silicon Valley, California, and NIST in Gaithersburg, Maryland. I was a Google Summer of Code developer for OpenAstronomy.
I spend most of my time doing research and coding. In my free time, there is nothing better than swimming and crab hunting in the waters of Clear Water Bay and video-chatting with my dog, Pluto.