Guangze Luo

Guangze Luo is an experienced researcher and data science professional with a diverse background in quantitative analysis and modeling. At The Hong Kong Polytechnic University, Guangze worked as a Research Assistant, where significant contributions included calculating accurate infection fatality ratios that aided public health policymaking. Additional roles included serving as an Equity Research Analyst at Tibet Gelonghui Information Technology Co. Ltd., building pricing models for China concept stocks, and as a Quantitative Research Intern at China International Capital Corp, creating a Geometric Brownian motion model for stock index forecasting. More recently, Guangze interned at Medidata Solutions and basys.ai while taking on a Research role at Harvard University. Current positions include Data Scientist at Amazon and Machine Learning Research Engineer at Scale AI. Contributions at MD Anderson Cancer Center included developing a Bayesian adaptive power prior model for treatment analysis.