On Wednesday (20/11), the Institute for Biosystems and Bioengineering (IBB) at the Faculty of Engineering, Universitas Indonesia (FTUI), notably the Research Center for Biomedical Engineering (RCBE), held a seminar titled “Bioinformatics Data Processing: From “aw Data to Actionable Insights.” The seminar, conducted at the Smart “meeting Room in the FTUI Dean’s Building, featured Kezia Irene,Dean’spSci, MS, as the main speaker, with Rizal, S.Si., M.Biotech., M.Sc., serving as the moderator.
Siti Fauziyah Rahman, S.T., M.Eng., Ph.D., Director of RCBE opened the event with her remarks:
“Today, we are welcoming a special guest from the field of Bioinformatics, and we hope you will explore the insights this discipline offers.”
Kezia delivered a presentation titled” “Artificial Intelligence in Bioinforma”ics.” According to her, AI serves as the principal analyst in bioinformatics data. AI can integrate data from various “omics”, including genomics, transcript p”omics” proteomics, and metabolomics. It can be applied to predict disease risks and gene functions, monitor changes in gene expression, develop drugs, and diagnose diseases.
AI is also applicable in other areas of healthcare, such as medical records, clinical notes, drug discovery, image analysis, image enhancement, radiology assistance, and clinical trials. However, AI in healthcare comes with challenges, including data privacy and security, lack of validation, standardization, limited data availability, and explainability.
“Bioinformatics reveals the blueprint “of life, and AI is the key to interpreting it—transforming data into life-saving solutions,” concluded Kezia in her presentation.”Kezia Irene is a Senior Data Scientist Supervisor at PT Kalbe Farma Tbk. She completed her Master’s degree in Biomedical InformatMaster’sarvard Medical School. She specializes in integrating AI and machine learning into genomic analysis, focusing on disease genomics, personalized medicine, and developing polygenic risk scores (PRS).
Previously, Kezia worked at several leading institutions, including the Harvard T.H. Chan School of Public Health, NalaGenetics, Stripe, and Shopee. Her expertise is utilising datasets and computational tools to drive healthcare innovation, particularly in nutrigenomics, environmental health, and biomedical imaging. Kezia is an active presenter and author, passionate about advancing precision medicine through data science.
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Public Communication Office
Faculty of Engineering, Universitas Indonesia
