Yu-Chao Wang  王禹超

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)

Professional Experiences

  • Professor, Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taiwan (2023.08~)
  • Deputy Director, Digital Medicine and Smart Healthcare Research Center, National Yang Ming Chiao Tung University, Taiwan (2024.11~)
  • Associate Professor, Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taiwan (2021.02~2023.07)
  • 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 (2019-2021)
  5. 陽明交通大學醫學院教師學術卓越獎勵 (2021-2023)
  6. 科技部優秀年輕學者計畫 (2021-2024)
  7. 陽明交通大學醫學院績優教研人員 (2023-2025)
  8. 陽明交通大學112年第四季重要期刊論文 (2024)

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, 2020/5-2024/4, MOST (co-PI).
  8. Integrated analysis of omics data, tumor microenvironment, and whole slide images for lung adenocarcinoma in Taiwan, 2020/8-2023/7, MOST (PI).
  9. Molecular changes of sclerosing pneumocytoma, 2020/8-2023/7, MOST (co-PI).
  10. Exploration of potential predictive biomarkers for immune checkpoint inhibitors: A comprehensive multi-omics analysis, 2021/8-2024/7, MOST (PI).
  11. Explore the therapeutic potential of double strand break repair (DSBR) genes for gemcitabine-resistant cholangiocarcinoma (CCA), 2021/8-2024/7, MOST (co-PI).
  12. Deciphering the mechanisms of brain aging and Alzheimer’s disease using hiPSC-derived cultures, 2022/8-2023/7, MOST (co-PI).
  13. Characterization of lung adenosquamous carcinoma with omics data analysis, 2023/8-2026/7, NSTC (PI).
  14. Molecular changes of thymic epithelial tumors, 2023/8-2026/7, NSTC (co-PI).
  15. Exploring the role of B cells and tertiary lymphoid structures (TLSs) in the tumor microenvironment of cholangiocarcinoma, 2023/8-2026/7, NSTC (co-PI).
  16. Comprehensive analysis of internal tandem duplications across various cancers, 2024/8-2027/7, NSTC (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 (MOPM 2020), Taoyuan, Taiwan, November 14, 2020.
  15. “Identification of genomic predictors for treatment response to cancer immunotherapy using omics data analysis” Master Program in Clinical Pharmacogenomics and Pharmacoproteomics, Taipei Medical University, Taipei, Taiwan, April 19, 2021.
  16. “Exploration of potential predictive biomarkers for immune checkpoint inhibitors with omics data analysis” 2022 The Chinese Medical Association Joint Conference, Taipei, Taiwan, July 16, 2022.
  17. “Exploration of potential predictive biomarkers for immune checkpoint inhibitors with omics data analysis” Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, February 9, 2023.
  18. “Exploring potential predictive biomarkers for immune checkpoint inhibitors with omics data analysis” College of Life Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, May 10, 2023.
  19. “Investigating tumor microenvironment features as potential predictive biomarkers for immune checkpoint inhibitors” 2023 Multiomics and Precision Medicine Joint Conference (MOPM 2023), Taipei, Taiwan, November 12, 2023.