I am a PhD student in Bioinformatics and Statistical Learning Group under the guidance of Dr. George C. Tseng at University of Pittsburgh, and interested in application of data science in genomics and development of statistical tools for biological study.

On-Going Projects

  • Number of clusters selection for model based clustering and S4 method extension.
  • Resemblance analysis between cell lines and human tissues.
  • Great Lakes Breast Cancer Consortium data analysis.
  • Fusion transcript analysis in ovarian cancer before and after chemotherapy.


  • Neil Carleton, Jian Zou, Yusi Fang, Stephen E. Koscumb, Osama Shiraz Shah, Fangyuan Chen, Sushil Beriwal, Emilia J. Diego, Adam M. Brufsky, Steffi Oesterreich, Steven D. Shapiro, Robert Ferris, Leisha A. Emens, George Tseng, Oscar C. Marroquin, Adrian V. Lee, Priscilla F. McAuliffe (2021). Outcomes After Sentinel Lymph Node Biopsy and Radiotherapy in Older Women With Early-Stage, Estrogen Receptor–Positive Breast Cancer, JAMA Network Open, e216322–e216322.
  • Terrell E Jones, Jian Zou, George C. Tseng, Somak Roy, Rohit Bhargava (2021). The Utility of Next-Generation Sequencing in Advanced Breast and Gynecologic Cancers: Experience of a Large Tertiary Care Women’s Hospital, American Journal of Clinical Pathology.
  • Li-Xuan Qin, Jian Zou, Jiejun Shi, Ann Lee, Aleksandra Mihailovic, Thalia A. Farazi, Thomas Tuschl, Samuel Singer (2020). Statistical Assessment of Depth Normalization for Small RNA Sequencing, JCO Clin Cancer Inform., 4, 567-582.
  • Peng Liu, Silvia Liu, Yusi Fang, Xiangning Xue, Jian Zou, George C. Tseng, Liza Konnikova (2020). Recent Advances in Computer-assisted Algorithms for Cell Subtype Identification of Cytometry Data, Frontiers in Cell and Developmental Biology, 8, 234.

Conference Presentation

  • Statistical Assessment of Depth Normalization Methods for MicroRNA Sequencing, ICSA, Dec 2019 (Hangzhou, China)


  • Teaching Assistant, Analysis of Categorical Data, Columbia Biostatistics, Summer 2018

Selected Courses Taken

  • Likelihood Theory and Applications, Pitt Biostatistics, Spring 2020
  • Linear Models, Pitt Biostatistics, Fall 2019
  • Statistical Estimation Theory, Pitt Biostatistics, Fall 2019
  • Topics of Statistical Learning and Data Mining, Columbia Biostatistics, Fall 2018
  • Introduction to Modern Analysis, Columbia Math, Summer 2018
  • Topics in Advanced Statistical Computing, Columbia Biostatistics, Spring 2018
  • Statistical Genetic Modeling, Columbia Biostatistics, Spring 2018
  • Cell Biology, CCNU Life Science, Fall 2016
  • Molecular Biology, CCNU Life Science, Fall 2016
  • Genetics, CCNU Life Science, Spring 2015
  • Biochemistry, CCNU Life Science, Spring 2015
  • Organic Chemistry, CCNU Chemistry, Fall 2014
  • Microbiology, CCNU Life Science, Fall 2014