• 2014 國立成功大學生物資訊與訊息傳遞研究所博士
• 2009 國立成功大學生物資訊研究所碩士
• 2007 國立嘉義大學生物農業科技學系學士

• 2024.02- 臺北醫學大學神經醫學博士學位學程助理教授
• 2021.06- 臺北醫學大學神經醫學研究中心助理研究員
• 2017.04-2021.05 臺北醫學大學醫學科學研究所博士後研究員
• 2016.03-2017.03 國立交通大學生物科技學系博士後研究員
• 2015.03-2016.03 國家衛生研究院國家環境醫學研究所博士後研究員

1. 2019.05 Exhibition of Excellent Poster by the 34^th Joint Annual Conference of Biomedical Science
2. 2013.11 Exhibition of Excellent Poster by the 3^rd International Symposium on Infectious Disease and Signal Transduction

1. 分子生物學
2. 細胞生物學
3. 癌症生物學
4. 生物資訊學
5. 大數據分析

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.