• 2014.12 Ph.D., Bioinformatics and Biosignal Transduction National Cheng Kung University, Taiwan
• 2009.07 M.S., Bioinformatics National Cheng Kung University, Taiwan
• 2007.06 B.S., Bioagricultural Sciences National Chiayi University, Taiwan

• 2024.02- 臺北醫學大學神經醫學研究中心助理教授
• 2021.06- Assistant Research Fellow, Brain tumor research, Taipei Medical University, Taiwan
• 2017.04-2021.05 Postdoctoral Fellow, Graduate Institute of Medical Sciences, Taipei Medical University, Taiwan
• 2016.03-2017.03 Postdoctoral Fellow, National Chiao Tung University, Taiwan
• 2015.03-2016.03 Postdoctoral Fellow, National Health Research Institutes, Taiwan

1. Exhibition of Excellent Poster by the 34^th Joint Annual Conference of Biomedical Science (Mar, 2019)
2. Exhibition of Excellent Poster by the 3^rd International Symposium on Infectious Disease and Signal Transduction (Nov, 2013)

1. Molecular Biology
2. Cell Biology
3. Cancer Biology
4. Bioinformatics
5. Big Data Analytics

Skills

1. Interdisciplinary Considerations (biomedicine and computational science).
2. Design the experiment independently and do the troubleshooting with colleagues.
3. Confidently report information and research findings in writing.
4. Patent analysis and patent portfolio.
5. Big Data analytics and bioinformatics: Single-cell analysis (including scATAC-seq and scRNA-seq) using Cell Ranger and R language (Seurat package), high-throughput sequence analysis (RNA-seq, DNA methylation and cDNA microarray) using CLC Genomics Workbench and R language, functional analysis using MetaCore and Ingenuity Pathway Analysis, writing and editing a C program, and constructing a local MySQL relational database.
6. Drug discovery: Post processing of protein-compound docking for structure-based drug discovery and development, systemic approaches to identify potential targets and drugs for drug repositioning in several diseases.
7. Biochemistry and Molecular Biology: Protein purification from coli, western blot, plasmid construction, isolation and purification of genomic DNA, mRNA and microRNA, real-time PCR, agarose gel electrophoresis, SNP technology, and yeast two-hybrid screening.
8. Cell Biology: Cell-related assays techniques (such as cell culture), microscopy imaging techniques (using confocal and time-lapse microscopy), and flow cytometry.
9. Animal model: Zebrafish model, xenograft, metastasis, TBI, and orthotopic GBM mice model.
10. Proteomics: Desalting and Mass Spectrometry (LTQ Orbitrap LC-MS/MS system), including in-gel or in-solution protein digestion, purification, MS/MS analysis, and analysis of proteomics data.