Summary
Xuan Qu is a Bioinformatics Engineer with 10 years of experience applying computer science, mathematics, and statistics to biological data at Memorial Sloan Kettering Cancer Center. He specializes in data-driven solutions and machine learning for genomics, with hands-on experience performing differential gene expression analyses (DESeq, edgeR) on TCGA datasets. Educated in computer science and applied mathematics across Syracuse and Leiden, he brings rigorous quantitative training and a strong programming background to translational research projects. Known for collaborative leadership, he bridges lab and computational teams to turn complex experimental questions into reproducible analyses. Based in Beijing, he pairs international academic training with a practical focus on improving analytic reproducibility and statistical rigor in cancer bioinformatics.
10 years of coding experience
Master of Science - MS, Computer Science, 3.75, Master of Science - MS, Computer Science, 3.75 at Syracuse University
Bussiness, Top 1st, Bussiness, Top 1st at Sundai College of Business & Foreign Languages
Shandong Experimental High School
Japanese and Japanese Culture, Top 1st, Japanese and Japanese Culture, Top 1st at Tamagawa International Language School
Bachelor of Science (B.Sc.), Mathematics and Applied Mathematics, 84.07, Bachelor of Science (B.Sc.), Mathematics and Applied Mathematics, 84.07 at Qingdao Technological University
Master of Science (M.Sc.), Applied Mathematics, 7.59, Master of Science (M.Sc.), Applied Mathematics, 7.59 at Leiden University
Japanese, English, Chinese