Xiaonan Hu

Xiaonan Hu has a strong work experience in various roles and industries. They started their career as an Intern at Pinnacle Wealth Brokers EMD in 2013. In 2014, they worked as a Researcher in the REU Matrix Analysis Program and Honor Thesis at William & Mary. From 2016 to 2020, Xiaonan worked as a Graduate Student at Duke University, focusing on research. During this time, they also served as a Research Intern at Pacific Northwest National Laboratory - PNNL in 2016. In 2020, Xiaonan joined Learnable, Inc. as a Junior Machine Learning Engineer. Later, they joined Lightelligence in the same year and held the roles of Machine Learning Engineer, Sr. Algorithm Engineer at CTO office, and currently Sr. Algorithm Engineer & Solution Engineer.

Xiaonan Hu completed a Master of Science (MS) degree in Computer Science from Duke University Graduate School from 2016 to 2020. Prior to that, Xiaonan Hu obtained a Bachelor's Degree in Mathematics Honor and Computer Science from William & Mary, attending from 2012 to 2016. Both of these degrees demonstrate a strong academic background in the fields of computer science and mathematics. Before beginning undergraduate studies, Xiaonan Hu attended The Experimental High School Attached to Beijing Normal University from 2009 to 2012. No specific degree or field of study information is available for this period. It is also worth noting that Xiaonan Hu has a connection to Duke University, although no specific educational details are provided.