Trainees and Postdoctoral Fellows

  • Leila Azinfar

    Postdoctoral Research Fellow
    Asiaee Lab

    PhD, Bioengineering, University of Missouri-Columbia

    Research focus: applying statistical and machine learning methods to large-scale datasets of biological information; identifying causal relationships between regulatory molecules and specific biological processes to develop more targeted and effective treatments for a wide range of diseases and conditions

  • Chia-Jung "Charlene" Chang

    Visiting Research Scholar

    PhD candidate, Biomedical Engineering, National Cheng Kung University (Taiwan)

    Research interests include: single-cell RNA sequence analysis, high-dimensional data analysis, precision medicine, multi-omit meta-analysis, mathematical models, statistical and bioinformatics methodology, engineering mathematics, cancer biology

    For more information: github.com/Charlene717

  • Jia Li

    Postdoctoral Fellow

    PhD, Bioinformatics, CAS-MPG Partner Institute for Computational Biology, Shanghai Technology University

    Jia Li's work at Vanderbilt has included "Tuft cell heterogeneity in function, lineage, and structure in ideal inflammatory disease," "Combinatorial single-cell strategies for a Crohn's disease gut cell atlas," and "Mechanistic insights into histone deacetylase inhibition for the treatment of retinoblastoma."

    Publications include "scMRMA: Single cell multiresolution marker-based annotation" (Nucleic Acids Research 2022)

     

  • Jing Yang

    Postdoctoral Fellow

    PhD, Molecular Biology and Biochemistry, East China University of Science and Technology & Shanghai Institutes for Biological Sciences of Chinese Academy of Sciences

    Jing Yang’s research work is focused on revealing the relationships between genotype and immunophenotype and identifying the determinates of immunogenicity for immunotherapy in melanoma. Dr. Yang also studies the TGFβ signaling pathway that functions through SMAD4 in inflammation-associated cancer.

    VUMC Reporter feature: Vanderbilt biostatisticians launch Cancer-Immu data portal for predicting response to immune checkpoint blockade immunotherapy