Directory
This Directory includes Faculty, Staff, Students, and Alumni selectable by category, search or alphabetical by last name. Over 110 students have graduated from the Department of Biomedical Informatics (25+ PhD, 50+ MS, 25+ Certificate). The diversity of careers available to DBMI alumnus is evident in their biographies. Many of our graduates are teaching and performing research in academic institutions, such as Vanderbilt University, Arizona State University, and New York University while others have entered private industry with companies such as Cerner Corporation and Boston Scientific; some have positions in government agencies, such as the NIH and AHRQ, while others are at major medical centers, serving in roles such as Chief Medical Information Officer. We maintain a database of the career paths of our graduates. If you are an alumnus, please contact us if you would like to submit or update information!
Han Zhang
Biography
Degree and Year Started: PhD Candidate – 2019 Cohort
Research: My research interest focuses on statistical learning and bioinformatics method in cancer genomics, particularly for immunology related research.
Research Mentor: Dr. Lujia Chen
Previous Education:
BS Statistics, Capital University of Economics and Business
MA Biostatistics, University at Buffalo
Hobbies: Work out, Pet lover.
What I like about Pittsburgh: Pittsburgh is pretty chill and I love the three rivers a lot!
Publications:
Zhang H, Lee S, Muthakana RR, Lu B, Boone DN, Lee D, Wang X-S. Intragenic Rearrangement Burden Associates with Immune Cell Infiltration and Response to Immune Blockade in Cancer. Cancer Immunology Research (2024) 12 (3):287-295.
Zhang, H., Lu, X., Lu, B., Chen, L. Measuring the composition of tumor microenvironment from transcriptome analysis: past, now and future. Future Oncology (2024) doi.org/10.2217.fon-2023-0658.
Zhang, H., Lee, S., Muthakana, R., Lu, B., Boone, D., Lee, D., Wang, XS. Associations of intragenic rearrangement burden with immune cell infiltration and response to immune checkpoint blockade in cancer. (Accepted on Cancer Immunology Research, IF=12.02)
Zhang, H., Lu, X., Lu, B., Chen, L. scGEM: Unveiling the nested tree-structured gene co- expressing modules in single cell transcriptome data. Cancers (Basel) 15 (17), 4277 (2023)
Wang, XS., Lee, S., Zhang H., Gong, T., Wang, Y. An integral genomic signature approach for tailored cancer therapy using genome-wide sequencing data. Nature Communications 13 (1), 2936 (2022)
Hutson, N., Zhan, F., Graham, J., Murakami, M., Zhang, H., Ganaparti, S., Hu, Q., Yan, L., Ma, C., Liu, S., Xie, J., Wei, L. An adaptive method of defining negative mutation status for multi-sample comparison using next-generation sequencing. BMC Medical Genomics 14, 1-10 (2021)
Qi, H., Xuan, Z.-L., Du, Y., Cai, L.-R., Zhang, H., Wen, X.-H., Kong, X.-D., Yang, K., Mi, Y. & Fu, X.-X. et al., High resolution global chromosomal aberrations from spontaneous miscarriages revealed by low coverage whole genome sequencing. European Journal of Obstetrics & Gynecology and Reproductive Biology 224, 21-28 (2018).
Yin, X., Du, Y., Zhang, H., Wang, Z., Wang, J., Fu, X., Cui, Y., Chen, C., Liang, J. & Xuan, Z. et al., Identification of a de novo fetal variant in osteogenesis imperfecta by targeted sequencing-based noninvasive prenatal testing. Journal of Human Genetics 63, 1129-1137 (2018).
Zhang, H., Zhao, Y.-Y., Song, J., Zhu, Q.-Y., Yang, H., Zheng, M.-L., Xuan, Z.-L., Wei, Y., Chen, Y. & Yuan, P.-B. et al., Statistical approach to decreasing the error rate of noninvasive prenatal aneuploid detection caused by maternal copy number variation. Scientific reports 5, 16106 (2015).