David Agustriawan, S.Kom., M.Sc., Ph.D.
Head of BioInformatics
- Associate Professor
- Department of Bioinformatics
Research Interest
- Cancer epigenetics
- Medical informatics
- NGS data analysis
- Health technology development
- In silico vaccine design
Biography
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.
Award
| Year | Award | Source |
|---|---|---|
|
2022 |
LPDP Riset Keilmuan Grant |
LPDP |
|
2021 |
Applied Research Grant, Principal Investigator |
Kedaireka |
|
2019 |
Best Presenter |
5th national conference PKM CSR 2019 |
|
2018 |
Best Presenter |
ICONISCSE 2018 |
|
2018 |
Best Presenter |
8th International Conference on Biomedical Engineering and technology (ICBET) |
Research Activity and Highlighted Project
| Year | Title | Partners |
|---|---|---|
|
2022 |
Development health technology applications: ECG portable, Chat-bot, and health monitoring that will be implemented at Lira Medika Hospital |
Lira Medika Hospital |
|
2021 |
Development of drug-drug interaction system that will be integrated to the hospital system, Lira Medika |
Lira Medika Hospital |
|
2021 |
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 |
|
2019-2020 |
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. Vaccines, 9(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 Chemistry, 92, 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 Chemistry, 93, 107497. |
