David Agustriawan, S.Kom., M.Sc., Ph.D.

Head of BioInformatics

Research Interest


David Agustriawan, Ph.D. is an Indonesian national. He obtained a full scholarship for his master’s and Ph.D. studies both at Asia University, Taiwan. He received his Ph.D. in Bioinformatics and Medical Engineering in 2017.  During his master’s and Ph.D. studies, Dr. David Agustriawan focused his research on medical informatics and epigenetic regulated microRNA. Upon completion of his Ph.D., he joined the Department of Bioinformatics of Indonesia International Institute for Life Sciences as a faculty member. His research interests include cancer epigenetics, medical informatics, NGS data analysis, big data, health tech development, silico vaccine design, and bioinformatics.


Year Award Source
LPDP Riset Keilmuan Grant
Applied Research Grant, Principal Investigator
Best Presenter
5th national conference PKM CSR 2019
Best Presenter
Best Presenter
8th International Conference on Biomedical Engineering and technology (ICBET)

Research Activity and Highlighted Project

Year Title Partners
Development health technology applications: ECG portable, Chat-bot, and health monitoring that will be implemented at Lira Medika Hospital
Lira Medika Hospital
Development of drug-drug interaction system that will be integrated to the hospital system, Lira Medika
Lira Medika Hospital
Characterization of T-cell immunity to SARS-CoV-2 in the South East Asian and European population
Robert Bosch Center for Tumor Disease
Mahidol University
University of Indonesia
Epigenetic cancer Biomarker prediction

Selected Publication

Liko, A. F., Ciputra, E., Sanjaya, N. A., Thenaka, P. C., & Agustriawan, A. (2022). DNA methylation profiling reveals new potential subtype-specific gene markers for early-stage renal cell carcinoma in Caucasian population. Quantitative Biology, 10(1): 79-93.

Gustiananda, M., Sulistyo, B. P., Agustriawan, D., & Andarini, S. (2021). Immunoinformatics Analysis of SARS-CoV-2 ORF1ab Polyproteins to Identify Promiscuous and Highly Conserved T-Cell Epitopes to Formulate Vaccine for Indonesia and the World Population. Vaccines9(12), 1459.

Muneer, A., Fati, S. M., Akbar, N. A., Agustriawan, D., & Wahyudi, S. T. (2021). iVaccine-Deep: Prediction of COVID-19 mRNA vaccine degradation using deep learning. Journal of King Saud University-Computer and Information Sciences.

Ivan, J., Patricia, G., & Agustriawan, D. (2021). In silico study of cancer stage-specific DNA methylation pattern in White breast cancer patients based on TCGA dataset. Computational Biology and Chemistry92, 107498.

Ramanto, K. N., Widianto, K. J., Wibowo, S. S. H., & Agustriawan, D. (2021). The regulation of microRNA in each of cancer stage from two different ethnicities as potential biomarker for breast cancer. Computational Biology and Chemistry93, 107497.



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