As a passionate technologist who has borrowed ideas heavily from biology in my exciting and challenging 13-years IT careers spanning multitude business sectors, I have never regretted venturing into the life science 18 years ago. My research focus has always been using computational approaches to acquire biological insights from the data. This is commonly done with the many great open-source tools from the research communities. I have had to develop instrument control software and new algorithm to fill in the voids. I have worked extensively on genomic, transcriptomic, epigenomic, proteomics, and glycoproteomics data. My current work focus include long-read and single-cell application in cancer genomes and regulome.