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:

  • Ishaan Gadiyar

    Research Intern
    syBBURE Searle Program

    Sophomore, Molecular and Cellular Biology, Vanderbilt University

    Mentor: Simon Vandekar

    Gadiyar is utilizing biostatistical models to procure spatial-marker bivariate data and using this data to analyze niche cell-to-cell interactions within cancer data sets. He is also assisting with meta-analysis on the necessity of excitatory cues when performing rTMS treatment. He will be a presenter at ENAR 2024.

  • 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)

    Winner of the Best Poster award in the department's 20th anniversary poster session for "Single-cell and spatial transcriptomics clustering with an optimized adaptive k-nearest neighbor graph"

  • Austin Shih

    Research Intern (2023-2024)

    Senior, Applied Mathematics (Data Science and Economics minors), Vanderbilt University

    Mentors: Yu Shyr and Chih-Yuan Hsu

    Shih is focusing on the use of computer simulations to create new methods to determine sample size for running a randomized Phase III trial for treatment crossover with respect for all three kinds of endpoints (continuous, categorical, and survival).