Taiwan
I am a computational biologist with a unique blend of expertise, holding a professional qualification as a medical technologist. My research journey has spanned diverse areas within bioinformatics, enabling me to navigate the intricate landscape of biological data analysis, including single-cell, pan-cancer, and multi-omic data analysis. I have involved in developing and significantly contributing to various bioinformatic tools (DrBioRight, GFF3toolkit, scFormatter, DigitalSorter, QuoTHiC and rankMotif) and the creation and management of databases (TCPA v3.0, and MCLP v2.0 and CPPA v1.0). Also, my research initiatives have been diverse, fostering collaborations with esteemed researchers in Germany and the USA. These projects have covered a broad spectrum of topics, such as tumor microenvironment, immunotherapy, and pan-cancer studies. I am deeply committed to advancing cancer research through innovative computational methods and am eager to contribute my expertise and passion to the pursuit of transformative healthcare solutions.
Working with Prof. Dr. Christoph Plass, Dr. Maria Llamazares Prada and Dr. Pavlo Lutsik.
Worked with Dr. Han Liang. My position was additionally supported by Computational Cancer Biology Training Program, Texas, USA (2019-2020) and Ministry of Science and Technology, Taiwan (2017-2018).
Worked with Dr. Monica Poelchau, Dr. Christopher Childers, and Dr. Eric Y. Chuang. This Postdoctoral Researcher position is a joint appointment by National Agricultural Library, United States Department of Agriculture, and Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University.
1. Bioinformatics tool development and genome data analysis of 5000 insect genome (i5k WorkSpace@NAL): Implement quality control pipeline for genome annotation file (.gff3), automatically correct errors on manually curated gene models, and integrate predicted and manually curated gene annotations by python 2.7 and perl. 2. Communication with researchers in the i5k research community: Assist with hosting 9 insect teams (20-70 researchers in each team) by answering technical questions and identifying their curation needs.