Biography
Shang-Hung Shih has worked as a software engineer at the genomics team in Taiwan AILabs for two years. Prior to this, He graduated from National Taiwan University (NTU) and Academia Sinica with master degree in Bioinformatics, and worked with Prof. Chien-Yu Chen.
Timeline
Selected Projects
![](/images/projects/moneyfire.png)
Develop a mobile application to help users track and manage asset growth.
![](/images/projects/pubmedkb.png)
Working on a PubmedKB web app for entities relation visualization of NLP.
![](/images/projects/qcheck.png)
Built proteomics data visualization for QCheck web app.
![](/images/projects/taigenomics.png)
Developed signup system, variant table, IGV viewer, and pedigree editor for TAIGenomics web app to help genetic analysis and diagnosis.
![](/images/projects/v-score.png)
Developed rule-based ACMG, ML-based v-score and inheritance pattern interpretation system for variant prioritization.
![](/images/projects/annotator.png)
Designed and built a variant annotator with multi-processing and MySQL to solve the inefficiency of traditional annotation tools for matching 4 million variants to databases with 9 billion data, reduced the annotation time by 58%, and shortened the time for a whole genome sample from 2 hours to 50 minutes.
![](/images/projects/pixnet.png)
Used Pixnet articles for correlation analysis and IG post data for sentiment analysis to provide personalized attraction recommendation and trip planning. I was mainly responsible for building relation graph for attraction recommendation.
![](/images/projects/cnn.png)
Predicting the sequence specificities of DNA-binding proteins by convolutional neural network.
![](/images/projects/ngs-main-wes_Guide.png)
For general varaints calling (GATK3 Mutect2 & GATK4 Mutect2 with PONs) and annotation (Phial based on Oncotator, paraSNP based on Annovar).