Peifeng Ruan
About Peifeng Ruan
Peifeng Ruan is a Postdoctoral Associate at Yale University, focusing on multi-omics data analysis. He has a diverse educational background with degrees in Applied Mathematics, Biostatistics, and Computer Science from notable institutions.
Work at Yale University
Peifeng Ruan has been serving as a Postdoctoral Associate at Yale University since 2020. In this role, he focuses on developing models for multi-omics data analysis. His work is conducted in New Haven, Connecticut, where he has contributed to various research initiatives over the past four years.
Education and Expertise
Peifeng Ruan has a robust educational background in mathematics, statistics, and biostatistics. He earned a Bachelor of Science in Applied Mathematics from Fudan University from 2006 to 2010. He further pursued advanced studies, obtaining a Master's degree in Statistics from Columbia University between 2011 and 2013. Ruan completed two Doctor of Philosophy (Ph.D.) degrees, one in Computer Science from Fudan University from 2010 to 2015 and another in Biostatistics from The George Washington University from 2016 to 2020.
Previous Work Experience
Before his current position, Peifeng Ruan gained experience in various roles. He interned at Genentech in 2018, focusing on statistical programming and data analytics for three months. He also worked as a Data Analyst at NYU Langone Medical Center in 2013 for five months. These positions provided him with valuable insights into data analysis and its applications in the medical field.
Research Focus
Peifeng Ruan's research primarily centers on developing models for multi-omics data analysis. His expertise lies in tackling complex data analysis and machine learning tasks, which are essential for advancing research in biostatistics and related fields. This focus reflects his commitment to addressing challenging problems in data science.