Graduate Research/Teaching Assistant
August 2024-Present
State University of New York, Stony Brook University, Stony Brook, NY
- Bioinformatics analysis on the correlation among neurodegeneration disease and osteodiseases
- Osteo organoids model development
- Cell mechanics: the impact of mechanical force stimulation
- Application of superparamagnetic nanoparticles on in vitro models
- Superparamagnetic and ferrimagnetic NP interaction with target proteins
Research staff
Oct 2023-May 2024
Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY
- Establish iPSC platform for the pathogenesis of frontotemporal lobar degeneration (FTLD) research
- iPSC maintenance and banking
- differentiate iPSC into excitatory forebrain neurons and induced microglia
- genetically edit iPSC for high-efficiency targeted differentiation
- develop iPSC models and parallel compare to the mouse models/cell models
- Establish rAAV platform for in vivo study
- Produce, purify, and analyze recombinant adeno-associated virus (rAAV)
- gene delivery to study PGRN/TMEM106B in normal physiology vs pathogenesis of FTLD
- Functionally analyze PGRN within various cell models
Graduate Research Assistant
Aug 2021-Oct 2023
Department of Grain Science and Industry, Agriculture, Kansas State University, Manhattan, KS
- Characterize iPSC culture in various conditions (2D, 2.5D, and 3D)
- Maintained iPSC induced from human fibroblast and PBMC in 3D peptide hydrogel matrix culture system, and compared within different ECM mimetic systems (Matrigel, Col-gel, laminin, and vitronectin)
- Analyzed pluripotency gene expression with modified 3D culture criteria among different iPS cell lines, culture media, and various experimental conditions
- Isolated extracellular vesicles from 3D cultured iPSC, and quantified the size and concentration of each population via nanoparticle tracking analysis (NTA)
- Cell-engineered human foreskin fibroblast and PBMC into iPS cells in a 3D system (Sendai viral transfection), and optimize the reprogramming efficiency