Fan Jiang
About Fan Jiang
Fan Jiang is a Software Engineer at Two Sigma in New York, specializing in scalable geo-distributed systems for data-intensive applications. With a PhD in Computer Science from the University of North Carolina at Chapel Hill, he has extensive experience in cloud computing and distributed architecture.
Work at Two Sigma
Fan Jiang has been employed as a Software Engineer at Two Sigma since 2020. In this role, he focuses on building scalable geo-distributed systems that support data-intensive applications, including genomic workflows and machine learning models. His work contributes to the development of advanced technologies in the financial services sector, leveraging his expertise in cloud computing and distributed systems.
Education and Expertise
Fan Jiang holds a Doctor of Philosophy (PhD) in Computer Science from the University of North Carolina at Chapel Hill, where he studied from 2015 to 2020. He also earned a Master of Science (M.S.) in Information Science from the same institution from 2012 to 2014. Additionally, he obtained a Bachelor of Science (BS) in Management Information Systems from China University of Geosciences, studying from 2008 to 2012. His educational background underpins his extensive knowledge in distributed architecture, algorithms, and scalable systems.
Background
Before joining Two Sigma, Fan Jiang worked at the Renaissance Computing Institute as a Research Assistant and Software Engineer from 2013 to 2020. He also served as a Research Assistant at Tsinghua University from 2010 to 2012. His early career included a brief tenure as a Developer at The Apache Software Foundation in 2013 and an internship as a Software Engineer at IBM in 2016.
Technical Skills and Interests
Fan Jiang possesses extensive experience in cloud computing, data streaming, distributed storage, and distributed messaging. He has hands-on experience with software-defined networking, cluster computing, and microservice architecture. In his leisure time, he is particularly enthusiastic about container technologies, focusing on customizing the Docker daemon and developing related tools.