Di (Dimitri) Fu
About Di (Dimitri) Fu
Di (Dimitri) Fu is a Data Staff member at Two Sigma, with a background in data analysis and machine learning. He has held various roles in academia and industry, including positions at The University of Arizona, Cintra US, and Virtus Partners, LLC.
Current Role at Two Sigma
Dimitri Fu has been serving as Data Staff at Two Sigma since 2020. In this role, he applies his expertise in data pipelining to support various data-driven projects. His responsibilities include managing data workflows and ensuring the efficient processing of large datasets, which are critical for the firm's analytical capabilities.
Previous Experience in Data Science
Prior to his current position, Fu worked at several organizations in data-related roles. He was an Associate Director of Analytics at Virtus Partners, LLC from 2016 to 2020. He also briefly served as a Data Scientist at Cintra US in 2016 and held an Analyst Intern position at China Investment Corporation in 2012. These experiences contributed to his development in data analysis and machine learning.
Education and Expertise
Dimitri Fu holds a Master's degree in Statistics from Rice University, where he studied from 2012 to 2014. He also earned a Bachelor of Science degree in Mathematics and Economics from the University of Arizona between 2009 and 2012. His educational background provides a strong foundation in scientific and engineering principles, enhancing his capabilities in data analysis and machine learning.
Research and Teaching Experience
Fu has experience in academia, having worked as a Research Assistant at the University of Arizona from 2010 to 2011, focusing on probabilistic random walks. Additionally, he served as a Teaching Assistant in Mathematical Statistics at Rice University from 2013 to 2014. These roles allowed him to deepen his understanding of statistical methods and contribute to the academic community.
Involvement in Machine Learning Projects
Dimitri Fu has been involved in the full life-cycle of machine learning projects. His experience encompasses conception, prototyping, modeling, productionization, and impact evaluation. This comprehensive involvement highlights his capability to manage complex data projects and deliver actionable insights.