Relevant Background

Hello! I am a Master student in Computational Biology at Carnegie Mellon University.

I received my Bachelor's degree in Biology Science from Sun Yat-sen University (Guangzhou, China).

I am proficient in biological data analysis and bioimage processing with adequate knowledge in biology and biomedical research.

My main research interest lies in employing computational strategies to exploit biological and clinial data to develop clinical applications and personalized medicine. My research experience includes data analysis of infectious disease genomics and antibiotic resistance related genes prediction, bioimage processing and simulation.

My expertises include:

Programming Skills:
Go, Python, Perl, R, PASCAL, LaTeX, HTML5, CSS3, Javascript, Matlab

Biological experiments:
Animal and Plant Anatomy; Cell and Nuclear Staining; Human Cell Culture; Plant Tissue Culture; Bacterial Culture; Accurate Cell Counting; Antibody Testing (ELISA); Electrophoresis (Agarose gel and SDS-PAGE); Western Blot; DNA/RNA/Plasmid Extraction; Micro Injection; Immunohistochemistry; Gene Cloning; TA Cloning; Quantative-PCR; etc.

Selected Coursework:
Machine Learning, Bioimage Informatics, Web Application Development, Programming for Scientists, Network Science, Higher Mathematics, Physiology, Biostatistics, Bioinformatics, Applied Cell and Molecular Biology, Biochemistry, Organic Chemistry, Inorganic Chemistry, Analytical Chemistry, Genetics, Oncology, Microbiology, Ecology, Physics.

Selected Projects

• Perl-based Analysis of CRISPR/Cas9-induced DNA Sequences Differences

Abstract:Wrote a Perl program to analyze sequence data and calculate the percentages of insertion/deletion and the mutation types (frame-shift/in-frame) based on the differences output generated by Codon Code Aligner software after aligning sequence samples. The program can also calculate the amounts of samples according to different indel sizes.
Samples: EMX1 gene and B2M gene from human 293T cells and CD274 gene and B2M gene from human H441 cells after being edited by CRISPR/Cas9 system.
Results: all the sequence has a high percentage of both indel and frame-shift mutation. Most of the indel pattern are deletion. The results indicate that CRISPR/Cas9 System is efficient in causing loss of function in encoded proteins. It also indicates that it is practical to analyze indel statistic using the Perl program cited in this study.

Click here to view details.

Bioimage Sequences Processing and Biological Image Data Mining

• Abstract:Manipulated image sequences of Drosophila vesicle transport.
• Characterizing fluorescence image background noise using MATLAB.

Click here to view details.

Visualization of the interaction networks of small non-coding RNA and RNA-Binding Protein

• Abstract:Analyze the sncRNA and RBP interaction and visualize their interaction networks using R.

Click here to view details.

2013 iGEM SYSU-Software team

Abstract:Designed User Experience interface for the award-winning Software CAST-Designer. Visualized the idea and created illustractions for the project.

Click here to view details.