Trainees and Postdoctoral Fellows

PhD student, Mathematics, Bayero University Kano

Abdulhamid is one of the first two fellows selected for the Vanderbilt-Nigeria Biostatistics Training Program.

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

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

PhD student, Statistics, Bayero University Kano

Ibrahim is one of the first two fellows selected for the Vanderbilt-Nigeria Biostatistics Training Program.

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)

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