Principal Investigator
Postdocs
Research Assistant
Ph.D. Student
Master Student
Alumni
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Research Assistant
- Yi-Hui Lin (林怡慧)
- Chieh Shih (石捷)
- Jhao-Liang Jheng (鄭兆良) PhD Student
- Shan-Han Huang (黃聖翰)
- Peir-In Liang (連培因) Master Student
- Shan-Hu Hsu (許山湖)
- Yi-Hsuan Kuo (郭伊玹)
- Wan-Lin Hsu (徐宛琳)
- Ciou-Rong Chen (陳秋榮)
- Hsin-Fang Wu (吳昕芳)
- Yu-Chuan Wang (王煜汌)
- Che-Yu Chou (周哲宇)
- Wei-Hsiang Hsu (許崴翔)
- Chien-Lun Wang (王千綸)
- Jia-Yi Shih (石家宜)
- Hui-Lun Lin (林暉倫)
Shan-Shan Wang (王珊珊)
Ph.D. Student (2022/08-current)
Ph.D. Program in Environmental and Occupational Medicine,
Kaohsiung Medicial University, Taiwan
Email: u111803002@kmu.edu.tw
- 2008/07 - 2010/07, M.S., Institute of Statistics, National University of Kaohsiung, Kaohsiung, Taiwan
- 2004/09 - 2008/06, B.S., Department of Applied Mathematics, National University of Kaohsiung, Kaohsiung, Taiwan
Education:
- 2021/08 - 2022/08, Research Assistant, Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli, Taiwan
- 2020/01 - 2021/07, Research Assistant, Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan
- 2019/02 - 2019/12, Research Assistant, Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
- 2015/07 - 2019/01, Research Assistant, School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
Experience:
- 2022 - Excellent Paper Award, 2022 International Symposium of Precision Environmental Medicine - Endocrine Disrupting Chemicals and Health (ISPEM 2012), Taipei, Taiwan.
Professional Certification and Awards:
Scientific Publications
- Incorporating Tissue-Specific Gene Expression Data to Improve Chemical–Disease Inference of in Silico Toxicogenomics Methods, Journal of Xenobiotics, 14(3), 1023-1035. (2024)
- Machine Learning for Predicting Chemical Migration from Food Packaging Materials to Foods, Food and Chemical Toxicology, 178, 113942. (2023)
- Ensemble learning for predicting ex vivo human placental barrier permeability, BMC Bioinformatics, 22(10), 629. (2022)
- SkinSensPred as a Promising In Silico Tool for Integrated Testing Strategy on Skin Sensitization, International Journal of Environmental Research and Public Health, 19(19), 12856. (2022)
- Reconfiguring the Online Tool of SkinSensPred for Predicting Skin Sensitization of Pesticides, Journal of Pesticide Science, 47(4), 184-189. (2022)
- A machine learning-driven approach for prioritizing food contact chemicals of carcinogenic concern based on complementary in silico methods, Food and Chemical Toxicology, 160, 112802. (2022)
- Prediction of human fetal–maternal blood concentration ratio of chemicals, PeerJ, 8, e9562. (2020)
- Leveraging Complementary Computational Models for Prioritizing Chemicals of Developmental and Reproductive Toxicity Concern: An Example of Food Contact Materials, Archives of Toxicology, 94, 485–494. (2020)
- Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis, Database (Oxford), 2020, baaa045. (2020)
- Transfer Learning for Predicting Human Skin Sensitizers, Archives of Toxicology, 93(4), 931-940. (2019)
- ChemDIS 2: an update of chemical-disease inference system, Database (Oxford), 2018, bay077. (2018)
- ChemDIS-Mixture: an online tool for analyzing potential interaction effects of chemical mixtures, Scientific Reports, 8, 10047. (2018)
- Mechanism-informed Read-across Assessment of Skin Sensitizers Based on SkinSensDB, Regulatory Toxicology and Pharmacology, 94, 276-282. (2018)
- SkinSensDB: a curated database for skin sensitization assays, Journal of Cheminformatics, 9, 5. (2017)
Conference Presentations
- SkinSensPred: Adverse Outcome Pathway-Based Multitask Learning Model for Human Skin Sensitizers, 24th European Symposium on Quantitative Structure-Activity Relationship (24th EuroQSAR), Barcelona, Spain. Sep 22-26 (Poster). (2024)
- Benchmarking In Silico Methods for Identifying Chemicals of Developmental Neurotoxicity Concern, 22 nd International Congress of the European Society of Toxicology In Vitro (ESTIV 2024), Prague, Czech Republic. Jun 3-6 (Oral). (2024)
- Innovative Virtual Zebrafish Platform: Integrating QSAR and In Silico Toxicogenomics for Drug Discovery and Safety, 24th European Symposium on Quantitative Structure-Activity Relationship (24th EuroQSAR), Barcelona, Spain. Sep 22-26 (Poster). (2024)
- ZFinfer: An Innovative Chemical-Phenotype Inference System on Zebrafish to Fill Data Gaps in Environmental Pollutant Research, 2024 NHRI Research Day, Miaoli City, Taiwan. Mar 18-19 (Poster). (2024)
- Inferring potential effects of PFASs via a novel chemical-phenotype inference system ZFinfer, ASCCT 13th Annual Meeting, Research Triangle Park, NC, USA. Oct 28-30 (Poster). (2024)
- Incorporating tissue-specific expression data of genes and proteins to improve chemical-disease inference, 22nd International Conference on Bioinformatics (InCoB 2023),Brisbane, Australia. Nov 12-15 (poster). (2023)
- ChemDIS-ZF: a computational chemical–disease inference system for zebrafish, 12th World Congress on Alternatives and Animal Use in the Life Sciences (WC12), Niagara Falls, Canada. Aug 27-31 (Oral). (2023)
- Development and validation of a novel computational system for predicting zebrafish phenotypes associated with chemical exposure, The 10th International Congress of Asian Society of Toxicology (ASIATOX-X), Taipei, Taiwan. Jul 17-20 (Oral). (2023)
- A novel integrated testing strategy for classifying skin sensitizers of pesticides using SkinSensPred and in vitro assay, 22nd International Conference on Bioinformatics (InCoB 2023),Brisbane, Australia. Nov 12-15 (poster). (2023)
- An efficient integrated testing strategy for classifying skin sensitizers of pesticides, 17th Annual Meeting of the Chinese-Taipei Society of Laboratory Animal Sciences (CSLAS), Taipei, Taiwan. Oct. 26-27 (Poster). (2022)
- Incorporation of Tissue-specific Gene Expression Improved the In Silico Toxicogenomics Analysis of Endocrine Disrupting Chemicals, 2022 International Symposium of Precision Environmental Medicine, Taipei, Taiwan. Oct 14 (Poster). (Excellent Paper Award) (2022)
- Analysis of hallmarks of cancer initiated after exposure to non-genotoxic hepatocarcinogens using toxicogenomics data, The 20th Asia Pacific Bioinformatics Conference (APBC2022), Malaysia. Apr 26-28 (Poster). (2022)
- Predicting Antimicrobial Resistance of Salmonella Based on Machine Learning and Whole-Genome Sequencing Data, 2021 Teacher and Student Joint Academic Research Symposium, Taipei Medical University, Taipei, Taiwan. May 10-May 14 (Poster). (Poster award: 3rd place) (2021)
- Ensemble learning for predicting ex vivo human placental barrier permeability, The 19th Asia Pacific Bioinformatics Conference (APBC2021), Tainan, Taiwan. Feb 3-5 (Oral). (2021)
- Computational assessment of potential neurotoxicity associated with cosmetics preservatives, 2020 Taiwan Academic Network Conference (TANET2020), Taipei, Taiwan. Oct 28-30 (Poster). (2020)
- A visualization system for navigating neurotoxic effects of chemicals in ChemDIS: Fipronil as a case study, The 12th International Biocuration Conference, Cambridge, UK. Apr 7-10 (Poster). (2019)
- Leveraging Alternative Assays for Predicting Skin Sensitizers, 2018 International Conference on Computational Chemistry and Toxicology in Environmental Science (2018CCTES), Taichung, Taiwan. May 4-6 (Oral). (Invited Keynote Speaker) (2018)
- Developing a curated database for skin sensitizers by incorporating adverse outcome pathways, OpenTox Euro 2016, Rheinfelden, Germany. Oct 26-28 (Oral). (2016)