Xiaojin Dong
About Xiaojin Dong
Xiaojin Dong is a Senior Data Scientist at Covera Health, where he has worked since 2019. He holds a Ph.D. in Applied Mathematics and Statistics from Stony Brook University and has expertise in Bayesian statistical inference and time series modeling.
Work at Covera Health
Xiaojin Dong has been employed at Covera Health as a Senior Data Scientist since 2019. In this role, he applies his expertise in data science to enhance healthcare outcomes through advanced analytics. His work involves leveraging statistical models and machine learning techniques to address complex business challenges within the healthcare sector.
Education and Expertise
Xiaojin Dong earned a Doctor of Philosophy (Ph.D.) in Applied Mathematics and Statistics from Stony Brook University, where he studied from 2010 to 2016. He also holds a Bachelor's Degree in Mathematics and Statistics from the University of Helsinki, completed between 2006 and 2010. His academic background provides a strong foundation in Bayesian statistical inference and modeling with time series data.
Background
Prior to his current position, Xiaojin Dong worked as an Insight Fellow at Insight Data Science for seven months in 2019. He has also held roles at Stony Brook University as a Graduate Student Instructor from 2011 to 2015 and as a Research Teaching Assistant from 2011 to 2016. Additionally, he worked as a Financial Advisor at New York Life Insurance Company in 2018.
Skills and Proficiencies
Xiaojin Dong possesses strong skills in applying machine learning models to solve business problems. He is proficient in programming languages such as Python and R, which are essential for data analysis and model development. His expertise in mathematics and statistical models further enhances his ability to conduct rigorous data analysis.