Benjamin Hu
About Benjamin Hu
Benjamin Hu is a Statistician Intern at The National Institutes of Health, where he has worked since 2020. He has a strong background in data science and statistics, with previous internships and research roles at various institutions, including First Analytics and North Carolina State University.
Work at National Institutes of Health
Benjamin Hu has been working as a Statistician Intern at the National Institutes of Health since 2020. His role involves developing statistical programs to assist scientists in identifying genes relevant to liver and lung cancer treatment effects. He focuses on genomic data analysis, utilizing advanced pipelines such as TopHat-Stringtie-Ballgown and GDC for RNA-seq and DNA-seq data.
Previous Experience in Data Science
Prior to his current position, Benjamin Hu gained experience as a Data Science Intern at First Analytics in 2019 for two months. He also worked as a Data Science Intern at Xylem Inc. in 2018 for two months. These roles contributed to his understanding of data analysis and statistical modeling in various contexts.
Education and Expertise
Benjamin Hu is pursuing a Doctor of Philosophy (Ph.D.) in Statistics at North Carolina State University, a program he has been enrolled in since 2015. He previously earned a Bachelor of Science (B.S.) in Computational and Applied Mathematics from Caltech, where he studied from 2010 to 2014. His educational background provides a strong foundation in statistical methods and data analysis.
Research and Teaching Experience
Benjamin Hu has held various positions that enhanced his research and teaching skills. He served as a Graduate Student and Teaching Assistant at North Carolina State University in 2015. Additionally, he worked as a Research Assistant at Queen's University in 2012 and as an Application Developer at BrainDx, LLC from 2014 to 2015. These roles contributed to his development in both academic and practical applications of statistics.
Statistical Analysis and Program Development
In his roles, Benjamin Hu has developed statistical programs in R to analyze predictive models. His work aids principal investigators in understanding experimental results related to cancer treatment. This analytical expertise is crucial for advancing research in the field of oncology.