Yu-Chao Wang 王禹超

Yu-Chao Wang

 

Education​

  • Ph.D. Department of Electrical Engineering, National Tsing Hua University, Taiwan (2010)
  • B.S. Department of Electrical Engineering, National Tsing Hua University, Taiwan (2003)

Professioal Experiences

  • Associate Professor, Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taiwan (2021.02~)
  • Associate Professor, Institute of Biomedical Informatics, National Yang-Ming University, Taiwan (2019.08~2021.01)
  • Assistant Professor, Institute of Biomedical Informatics, National Yang-Ming University, Taiwan (2013.08~2019.07)
  • Postdoctoral research fellow, Department of Electrical Engineering, National Tsing Hua University, Taiwan (2010.08~2013.07)

Research ​Interests

  • Biomedical data analysis and AI in healthcare
  • Translational bioinformatics
  • Systems biology

Honors and Awards

  1. 科技部補助大專院校延攬特殊優秀人才補助 (2013-2015)
  2. 財團法人沈力揚教授醫學教育獎學紀念基金會講師級研究與進修獎助 (2014)
  3. 陽明大學104學年度教學優良教師 (2016)
  4. 陽明大學醫學院教師學術卓越獎勵 (2019)

Research Projects

  1. Construction and analysis of disease-related networks: integrative systems biology approach, 2013/12-2015/10, NSC (PI).
  2. Systematic analysis of biomedical big data using library of integrated network-based cellular signatures (LINCS), 2015/8-2017/7, MOST (PI).
  3. Identification of genomic predictors for treatment response to cancer immunotherapy using omics data analysis, 2017/8-2020/9, MOST (PI).
  4. Discovery and validation of novel diagnostic marker for cholangiocarcinoma, 2017/8-2018/7, MOST (co-PI).
  5. Selective killing and synthetic lethal target identification for hepatitis B virus infection and hepatocellular carcinoma, 2018/8-2021/7, MOST (PI).
  6. Discovery of novel diagnostic markers to differentiate squamous cell carcinomas from various origins, 2018/8-2019/7, MOST (co-PI).
  7. The roles of gut microbiota in the outcomes of chronic hepatitis and hepatocellular carcinoma: clinical studies, big data studies, animal experiments, and multi-omics studies, 2020/5-2021/4, MOST (co-PI).
  8. Integrated analysis of omics data, tumor microenvironment, and whole slide images for lung adenocarcinoma in Taiwan, 2020/-2023/7, MOST (PI).
  9. Molecular changes of sclerosing pneumocytoma, 2020/8-2023/7, MOST (co-PI).

Invited Talks

  1. "Systems biology and its applications" Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, November 19, 2010.
  2. "Systematic approaches to systems and synthetic biology: modeling, analysis, and applications" Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan, November 15, 2012.
  3. "Introduction to biological modeling" The Life Science Library, Academia Sinica, Taipei, Taiwan, April 15, 2014.
  4. "Integrative systems biology analysis of Candida albicans-zebrafish interaction" Department of Life Science, National Taiwan University, Taipei, Taiwan, June 11, 2014.
  5. "Biological modeling" CBiG14, Taipei, Taiwan, August 28, 2014.
  6. "Integrative systems biology analysis of Candida albicans-zebrafish interaction" School of Life Sciences, National Yang-Ming University, Taipei, Taiwan, November 5, 2014.
  7. "Integrative systems biology analysis of Candida albicans-zebrafish interaction" 2014 TPS Translational and Systems Biology Symposium, Taipei, Taiwan, November 12, 2014.
  8. "Biological modeling" CBiG15, Taipei, Taiwan, July 22, 2015.
  9. "Biological modeling and its applications in systems biology" International Symposium on Evolutionary Genomics and Bioinformatics (ISEGB 2015), Taipei, Taiwan, November 6, 2015.
  10. “Biological modeling and systems biology analysis of host-pathogen interaction” BIT2016 and Kyutech-NYMU Joint Symposium for Biomedical Informatics & Biotechnology, Taipei, Taiwan, March 3, 2016.
  11. "Mathematical modeling" CBiG16, Taipei, Taiwan, July 6, 2016.
  12. "Biological modeling and its applications in computational biology" Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan, December 8, 2016.
  13. "Mutation burden estimation model as a predictor for cancer immunotherapy treatment response" School of Life Sciences, National Yang-Ming University, Taipei, Taiwan, October 24, 2018.
  14. "Identification of genomic predictors for treatment response to cancer immunotherapy using omics data analysis" 2020 Multiomics and Precision Medicine Joint Conference (2020 MOPM), Taoyuan, Taiwan, November 14, 2020.