Duanduan Liu
About Duanduan Liu
Duanduan Liu is a data scientist currently working at Komodo Health and Inscape Data, Inc. in San Francisco, California.
Current Roles in Data Science
Duanduan Liu is currently employed as a data scientist at Komodo Health in San Francisco, California. In this role, Liu works on analyzing healthcare data to provide insights and solutions. Additionally, Liu is also a data scientist at Inscape Data, Inc., where he contributes to various data-driven projects. These concurrent roles highlight his expertise and dedication to the field of data science.
Education and Expertise
Duanduan Liu has a comprehensive educational background in data science and related fields. He earned a Doctor of Philosophy from The Chinese University of Hong Kong between 2010 and 2014. Prior to that, he completed his Masters at Southeast University from 2007 to 2010 and his Bachelors at Tianjin Medical University, graduating in 2007. In the United States, Liu further honed his expertise by completing a Master of Science at Worcester Polytechnic Institute from 2015 to 2017. He also studied briefly at the University of California, Los Angeles in 2013.
Previous Work Experience
Duanduan Liu's career includes various roles that have contributed to his depth of experience in data science. He has worked as a data scientist at NFPA from 2017 to 2018. Liu also gained practical experience during his data science internships; he interned at Dana-Farber Cancer Institute for three months in 2017 and at Viasat Inc. for three months in 2016. Earlier, he served as a research assistant at Shenzhen Institutes of Advanced Technology for four months in 2010, and as a research intern at the Key Laboratory of Child Development and Learning Science at Southeast University from 2008 to 2009.
Experience in Healthcare and Technology Sectors
Duanduan Liu has a broad spectrum of experience in both the healthcare and technology sectors. His current role at Komodo Health focuses on healthcare data analysis, directly linking his work to improving healthcare outcomes. His previous internship at the Dana-Farber Cancer Institute provided him with valuable experience in applying data science to healthcare research. Additionally, his time as a data science intern at Viasat Inc. allowed him to apply his skills within the technology sector, broadening his expertise.
Foundations in Theoretical and Applied Data Science
Duanduan Liu has built a strong foundation in both theoretical and applied data science. This is evidenced by his multiple internships and research assistant positions, which provided him with hands-on experience and technical knowledge. His academic achievements from prestigious institutions in the US, Hong Kong, and China further solidify his expertise, making him well-versed in various aspects of data science.