Projects per year
Personal profile
Education
- 2012 Ph.D., School of Informatics, Indiana University
- 2000 M.S., Department of Computer Science, National Tsing Hua University
- 1998 B.S. Department of Computer Science, Tunghai University
Experience
- 2016- Assistant Professor, Graduate Institute of Biomedical Informatics, Taipei Medical University
- 2016 Project Assistant Research Fellow, Graduate Institute of Biomedical Informatics, Taipei Medical University
- 2016 Postdoctoral Research Fellow, Biodiversity Research Center, Academia Sinica
- 2012-2016 Postdoctoral Research Fellow, Lawrence Berkeley National Lab, USA
- 2007-2012 Research Assistant, School of Informatics and Computing, Indiana University, USA
- 2005-2007 Research Assistant, Institute of Information Science, Academia Sinica
- 2000-2005 Software Engineer, Institute for Information Industry
Research Interests
- Bioinformatics, Metagenomics, Machine Learning
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Network
Projects
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運用機器學習演算法透過基因體資訊挖掘未知基因的功能與預測細菌抗藥性(2/3)
8/1/20 → 7/1/21
Project: A - Government Institution › b - Ministry of Science and Technology
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A Genome-Based Machine Learning Approach for Mining the Functional Potentials of Hypothetical Genes and Predicting Bacterial Antimicrobial-Resistance Phenotypes(1/3)
8/1/19 → 7/31/20
Project: A - Government Institution › b - Ministry of Science and Technology
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使用Kmer 與神經網路進行智慧影像辨識與分類
1/1/19 → 12/31/19
Project: C - Project of Alliance › m - National Taiwan University of Science and Technology
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使用Kmer 與神經網路進行智慧影像辨識與分類
1/1/19 → 12/31/19
Project: C - Project of Alliance › m - National Taiwan University of Science and Technology
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利用基因網絡分析尋找假定蛋白質 (hypothetical protein)與抗藥性的關係
7/1/18 → 2/28/19
Project: A - Government Institution › b - Ministry of Science and Technology
Research Output
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Untargeted metabolomics predicts the functional outcome of ischemic stroke
Chi, N. F., Chang, T. H., Lee, C. Y., Wu, Y. W., Shen, T. A., Chan, L., Chen, Y. R., Chiou, H. Y., Hsu, C. Y. & Hu, C. J., Jan 1 2021, In: Journal of the Formosan Medical Association. 120, 1P1, p. 234-241 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Artificial intelligence-assisted prediction of preeclampsia: Development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia
Sufriyana, H., Wu, Y. W. & Su, E. C. Y., Apr 2020, In: EBioMedicine. 54, 102710.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
A two-stage multi-fidelity design optimization for K-mer-based pattern recognition (KPR) in image processing
Yao, Y. T., Wu, Y. W. & Lin, P. T., 2020, 46th Design Automation Conference (DAC). American Society of Mechanical Engineers(ASME), V11BT11A031. (Proceedings of the ASME Design Engineering Technical Conference; vol. 11B-2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Morphine produces potent antinociception, sedation, and hypothermia in humanized mice expressing human mu-opioid receptor splice variants
Huang, Y-H., Wu, Y-W., Chuang, J-Y., Chang, Y-C., Chang, H-F., Tao, P-L., Loh, H. H. & Yeh, S-H., Jun 1 2020, In: Pain. 161, 6, p. 1177-1190 14 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort
Sufriyana, H., Wu, Y-W. & Su, E. C-Y., May 18 2020, In: JMIR medical informatics. 8, 5, p. e15411Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)