BioCompLab

Principal Investigator

Postdocs

Research Assistant

Ph.D. Student

Master Student

Alumni

Run-Hsin Lin (林閏新)

Research Assistant

Institute of Biotechnology and Pharmaceutical Research,
National Health Research Institutes, Taiwan
Email: m946107011@tmu.edu.tw

    Education:

  • 2019/09 - 2021/07, M.S., Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan
  • 2014/09 - 2018/06, B.S., Department of Health Care Administration, Taipei Medical University, Taipei, Taiwan

Scientific Publications

  1. C.W. Tung*, C.C. Wang, R.H. Lin and S.S. Wang (2025) Multitask Learning for Six-Pack Toxicity Prediction, Annals of Computer Science and Information Systems, (in press).
  2. R.H. Lin, P. Lin, C.C. Wang and C.W. Tung* (2024) A Novel Multitask Learning Algorithm for Tasks with Distinct Chemical Space: Zebrafish Toxicity Prediction as an Example, Journal of Cheminformatics, 16(1), 91.
  3. R.H. Lin, C.C. Wang and C.W. Tung* (2022) A Machine Learning Classifier for Predicting Stable MCI Patients Using Gene Biomarkers, International Journal of Environmental Research and Public Health, 19(8), 4839.

Conference Presentations

  1. C.W. Tung*, C.C. Wang, R.H. Lin and S.S. Wang (2025) Multitask Learning for Six-Pack Toxicity Prediction, 20th Conference on Computer Science and Intelligence Systems (FedCSIS 2025), Kraków, Poland. Sep 14-17 (Oral).
  2. R.H. Lin, M.Y. Ku, S.H. Tsai and C.W. Tung* (2025) Multitask Learning for Pharmacokinetic Parameter Predictions, 29th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2025). Seoul, Korea. Apr. 26-29 (Poster).
  3. M.C. Li, H.L. Kan, R.H. Lin, C.C. Wang and C.W. Tung* (2025) Predicting Molecular Initiating Events for Adverse Outcome Pathway-based Toxicity Evaluation Via Multitask Learning, 21th International Workshop on (Q)SAR in Environmental and Health Sciences (QSAR2025), Milan, Italy. Jun 3-6 (Poster).
  4. C.W. Tung*, C.C. Wang, H.L. Kan, R.H. Lin, S.S. Wang and P. Lin (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).
  5. R.H. Lin, C.C. Wang, P. Lin and C.W. Tung* (2023) A Novel Multitask Learning Framework for Tasks with Distinct Chemical Space: Zebrafish Toxicology Prediction as an Example, 20th International Workshop on (Q)SAR in Environmental and Health Sciences (QSAR2023), Copenhagen, Denmark. Jun 5-9 (Oral).
  6. R.H. Lin and C.W. Tung* (2021) Identification of Biomarkers for Predicting the Conversion of Mild Cognitive Impairment to Alzheimer‘s Disease Patients Using Machine Learning Algorithm, 2021 Teacher and Student Joint Academic Research Symposium, Taipei Medical University, Taipei, Taiwan. May 10-May 14 (Poster).

Other Publications

  1. R.H. Lin (2021) Identification of Biomarkers for Predicting Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Machine Learning Algorithms, Master's thesis, Graduate Institute of Data Science, Taipei Medical University.