Biographical Info

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).