Shuze Wang

Shuze Wang, Ph.D.
Research Scientist
Massachusetts General Hospital
E-mail: shuzwang-at-umich-dot-edu

Education

• Ph.D. in Bioinformatics, 2018 - 2023, University of Michigan, Ann Arbor, MI.
  Thesis advisors: Professors Joerg Waldhaus and Jie Liu.

• M.S. in Electrical Engineering & Computer Science, 2022, University of Michigan, Ann Arbor.

• M.S. in Bioinformatics, 2018, University of Michigan, Ann Arbor.

• B.M. in Electronic Commerce, 2016, Central University of Finance & Economics, China.

• Exchange Program in Management Information Systems, 2014 - 2015, Purdue University, West Lafayette.

Publications

Journal Publications

• 3D reconstruction of the mouse cochlea from scRNA-seq data suggests morphogen-based principles in apex-to-base specification,
  S. Wang, S. Chakraborty, Y. Fu, M. P. Lee, J. Liu, J. Waldhaus,
  Developmental Cell, Vol. 59(12), 1538-1552, 2024.

• Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data,
  S. Wang, M. P. Lee, S. Jones, J. Liu, J. Waldhaus,
  Genome Research, Vol. 31 (10), 1885-1899, 2021.

• Comprehensive enhancer-target gene assignments improve gene set level interpretation of genome-wide regulatory data,
  T. Qin, C. Lee, R. G. Cavalcante, P. Orchard, H. Yao, H. Zhang, S. Wang, S. Patil, A. P. Boyle, M. A. Sartor,
  Genome Biol, Vol. 23(105), 2022.

• Poly-Enrich: count-based methods for gene set enrichment testing with genomic regions,
  C. T. Lee, R. G. Cavalcante, C. Lee, T. Qin, S. Patil, S. Wang, Z. T. Y. Tsai, A. P. Boyle, M. A. Sartor,
  NAR Genomics and Bioinformatics, Vol. 2(1), 2020.

• Estimate of ischemic stroke prevalence according to a novel 4-tiered classification of left ventricular hypertrophy: insights from the general Chinese population,
  H. Wang, S. Wang, X. Yi, Y. Tao, H. Qian, P. Jia, Y. Chen, Y. Sun,
  Annals of Medicine, Vol. 50(6), 519-528, 2018.

• Body adiposity index, lipid accumulation product, and cardiometabolic index reveal the contribution of adiposity phenotypes in the risk of hyperuricemia among Chinese rural population,
  H. Wang, Y. Sun, S. Wang, H. Qian, P. Jia, Y. Chen, Z. Li, L. Zhang,
  Clin Rheumatol, 37, 2221-2231, 2018.

Talks

• Opposing gradients of retinoic acid and sonic hedgehog specify tonotopic identity in the mouse cochlea,
  S. Wang, S. Chakraborty, Y. Fu, M. P. Lee, J. Liu, J. Waldhaus,
  30th conference on Intelligent Systems for Molecular Biology. July 11, 2022. Madison, Wisconsin.

• Molecular Mechanism Conferring Spatial Identity during Cochlear Duct Extension,
  S. Wang, Y. Fu, M. P. Lee, S. Jones, J. Liu, J. Waldhaus,
  12th ACM-BCB ML-SCA workshop. August 1, 2021. Virtual Presentation.

• Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data,
  S. Wang, M. P. Lee, S. Jones, J. Liu, J. Waldhaus,
  14th Great Lakes Bioinformatics (GLBIO) Conference. May 12, 2021. Virtual Presentation.

• Single Cell Chromatin Accessibility Delineates Cellular Identities of the Neonatal Organ of Corti,
  S. Wang, M. P. Lee, S. Jones, J. Liu, J. Waldhaus,
  28th conference on Intelligent Systems for Molecular Biology. July 13, 2020. Virtual Presentation.

• Mapping the regulatory landscape of auditory hair cells from single cell,
  S. Wang, M. P. Lee, S. Jones, J. Liu, J. Waldhaus,
  The Founders Lecture at University of Michigan. October 8, 2020. Virtual Presentation.

• Spatial Reconstruction of the Postnatal Cochlear Duct using scRNA-seq and scATAC-seq,
  S. Wang, M. P. Lee, J. Liu, J. Waldhaus,
  Lawrence-Hawkins lectureship at University of Michigan. October 16, 2019. Ann Arbor, Michigan.

Teaching Experience

• BIOINF 527, Introduction to Bioinformatics & Computational Biology, Fall 2022.
  Graduate Student Instructor.