Qinghui Ge is a seasoned professional in the fields of machine learning and data science, currently serving as a Machine Learning Engineer at MOLOCO since December 2020. Previously, Qinghui worked as a Data Scientist at Root Inc. from July 2019 to December 2020, focusing on pricing, underwriting, and fraud detection. As a Competition Master on Kaggle during the same period, Qinghui achieved a notable ranking of 17th out of 7,198 participants in the Home Credit Default Risk competition, demonstrating expertise in feature engineering and time series analysis. Qinghui's academic background includes a PhD in Theoretical Chemistry from the University of California, Berkeley, complemented by a Master's degree in Computer Science from the Georgia Institute of Technology and a Bachelor's degree in Chemistry from Zhejiang University. Additionally, as a research assistant at UC Berkeley, Qinghui contributed to advancements in quantum chemistry and energy decomposition methods.
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