Kai-Li is especially interested in development and applying bioinformatic tools/machine learning techniques for elucidation of cancer progression. In 2016, Kai-Li begun his undergraduate research project, in which he has developed bioinformatic pipelines for identification and functional prediction of circular RNA from next-generation sequencing data. After graudation from college, Kai-Li continued to persue a master’s degree in Physiology from National Cheng Kung University. In his master’s thesis, he analyzed transcriptomic and epigenomic data to guide hypothesis formation and experimental design to elucidate the role of histone modifications in colon cancer drug resistance. After receiving master’s degree, Kai-Li did an internship at the German Cancer Research Center (DKFZ), during this internship, Kai-Li developed a R package along with a web user interface for analysis of epignomics data from The Cancer Genome Atlas (TCGA). Since July of 2021, Kai-Li joined Dr. Huai-Kuang Tsai’s lab with a focus on applying deep learning to prediction of extrachromosomal circular DNAs (eccDNAs). In the life outside of the lab, Kai-Li enjoy reading and watch movies.


  • Bioinformatics
  • Genomics
  • Cancer biology
  • Epigenomics
  • Machine Learning


  • M.S., Physiology

    National Cheng Kung University, Taiwan