Zhaonian Zheng
About Zhaonian Zheng
Zhaonian Zheng is a biostatistician currently employed at The National Institutes of Health since 2020, where he collaborates with physicians and engineers to provide statistical consultation. He holds a Master's degree in Biostatistics from The George Washington University and has experience in developing statistical models for health-related research.
Work at National Institutes of Health
Zhaonian Zheng has been employed as a Biostatistician at the National Institutes of Health since 2020. In this role, he collaborates with physicians and engineers to provide statistical consultation. His work involves applying biostatistical methods to support various research initiatives. The National Institutes of Health is located in Bethesda, Maryland, where Zheng has contributed to advancing public health research through his statistical expertise.
Previous Experience at George Washington University
Prior to his current position, Zhaonian Zheng worked at The George Washington University - Milken Institute School of Public Health as a Biostatistician from 2018 to 2020. During this time, he also held a part-time role as a Biostatistician for five months in 2018 and served as a Biostatistic consultant for four months in the same year. His experience at the university involved statistical analysis and consultation, contributing to various public health projects.
Education and Expertise
Zhaonian Zheng earned a Master's degree in Biostatistics from The George Washington University, completing his studies from 2016 to 2018. He also holds a Bachelor's degree in Biomedical Engineering from Sun Yat-Sen University, which he obtained from 2012 to 2016. His educational background provides a strong foundation in statistical methodologies and their application in health-related research.
Research Contributions and Projects
Zhaonian Zheng has made significant contributions to research through various projects. He modified the PYCOX Python package to integrate neural networks into survival analysis, enhancing the analytical capabilities for survival data. Additionally, he developed a time-varying Cox regression model to investigate the relationship between COVID-19 outcomes and drug usage. His work utilizes advanced statistical techniques to address critical health issues.
Technical Skills and Tools
Zhaonian Zheng is proficient in utilizing SAS EG&R on cloud-based Databricks for handling large nationwide CMS claims data. His technical skills enable him to analyze complex datasets effectively, supporting his work in biostatistics and public health research. Zheng's expertise in statistical software and programming enhances his ability to contribute to data-driven decision-making in health-related studies.