Xinjun Wang
About Xinjun Wang
Xinjun Wang is a Graduate Student Researcher specializing in Biostatistics at UPMC Children's Hospital of Pittsburgh, where he has worked since 2019. He holds a PhD in Biostatistics from the University of Pittsburgh and has a strong focus on developing statistical methods for single-cell multi-omics data.
Work at UPMC Children's Hospital of Pittsburgh
Xinjun Wang has been employed as a Graduate Student Researcher in Biostatistics at UPMC Children's Hospital of Pittsburgh since 2019. In this role, Wang focuses on the analysis of single-cell data, collaborating with physicians and clinical researchers to facilitate novel biological discoveries. This position allows Wang to apply advanced statistical methods to real-world clinical data, contributing to the understanding of complex biological systems.
Education and Expertise
Xinjun Wang earned a Doctor of Philosophy (PhD) in Biostatistics from the University of Pittsburgh, completing the program from 2017 to 2022. Prior to this, Wang obtained a Master's Degree in Biostatistics from the University of Washington, studying from 2015 to 2017. Wang also holds a Bachelor's Degree in Mathematics and Biochemistry from the University of Iowa, which was completed from 2010 to 2015. This educational background provides a strong foundation in statistical methods and their applications in health sciences.
Background
Xinjun Wang's academic journey began at the University of Iowa, where foundational studies in Mathematics and Biochemistry were undertaken. Following this, Wang pursued a Master's Degree at the University of Washington, further specializing in Biostatistics. The transition to the University of Pittsburgh marked a significant advancement in Wang's academic career, culminating in a PhD in Biostatistics. Wang's research interests are primarily centered on developing statistical methods for single-cell multi-omics data.
Previous Experience in Biostatistics
Before current work at UPMC Children's Hospital of Pittsburgh, Xinjun Wang served as a Graduate Student Researcher in Biostatistics at the University of Pittsburgh School of Health and Rehabilitation Sciences from 2017 to 2019. Additionally, Wang completed a two-month fellowship as an ORISE Fellow in Biostatistics at the FDA in 2018, located in Silver Spring, Maryland. These roles provided practical experience in biostatistical applications and research methodologies.
Research Focus on Single-Cell Data
Xinjun Wang specializes in developing novel statistical methods for analyzing single-cell multi-omics data. Wang has extensive experience with various single-cell data types, including scRNA-seq, CITE-seq, DOGMA-seq, and spatial transcriptomics. This expertise enables Wang to effectively collaborate with clinical researchers, enhancing the understanding of biological processes through data analysis.