Huangrui Chu
About Huangrui Chu
Huangrui Chu is a Graduate Research Assistant at Yale University, specializing in Biostatistics. He has a strong academic background in Data Science, having studied at both Duke Kunshan University and Duke University, and has achieved notable academic honors and a perfect GRE quantitative score.
Current Role at Yale University
Huangrui Chu currently serves as a Graduate Research Assistant at Yale University. He has held this position since 2022 and is involved in various research projects in the field of Biostatistics. His work contributes to the academic environment at Yale, where he is pursuing a Master of Science degree in Biostatistics, expected to be completed in 2024.
Previous Experience at Duke Kunshan University
Prior to his role at Yale, Huangrui Chu worked at Duke Kunshan University from 2020 to 2022. During this time, he held multiple positions, including Undergraduate Research Assistant, University Programming Assistant, and Peer Tutor. His responsibilities included assisting in research projects and providing academic support to fellow students. He gained valuable experience in a collaborative academic setting.
Educational Background in Data Science
Huangrui Chu completed his undergraduate studies in Data Science at both Duke Kunshan University and Duke University from 2018 to 2022. He earned a Bachelor of Science degree with honors, graduating with a GPA of 3.891 from Duke Kunshan University and a GPA of 3.893 from Duke University. His education provided a strong foundation in data analysis and statistical methods.
GRE Performance
Huangrui Chu achieved a perfect score of 170 in the quantitative section of the GRE. This accomplishment reflects his strong analytical skills and proficiency in quantitative reasoning, which are essential in his current studies and research in Biostatistics.
Technical Skills in Research
As part of his research work, Huangrui Chu has trained models using PyTorch in a Linux environment. This technical skill is critical for conducting advanced data analysis and modeling, which are integral components of his academic and research endeavors.