Biomedical Informatics · Healthcare Analytics · Life Sciences Strategy
I turn healthcare data into evidence people can act on.
My work is built on a direct conviction: better analytical infrastructure produces better health decisions. The gap between available data and actionable evidence is not primarily a data problem. It is an infrastructure problem.
With a background in biology, direct experience in hospital operations, graduate training in biomedical informatics at the University of Pennsylvania, and consulting work in healthcare strategy, I work across the full arc from rigorous analysis to the decisions that analysis is meant to support.
Professional Path
From hospital operations in Indonesia to biomedical informatics at Penn
Foundation
Biology, hospitals, and a data gap
My interest in health data developed during my biology training and sharpened through direct experience in hospital operations in Indonesia. Working at the intersection of clinical care and operations, I observed how much analytical capacity went unused, not because data was absent, but because the infrastructure to make it useful was. Understanding that gap became the driving question behind everything that followed.
Graduate Study
Biomedical informatics at Penn
As an LPDP Scholar, supported by the Ministry of Finance of the Republic of Indonesia, I pursued the Master of Biomedical Informatics at the University of Pennsylvania to build the technical depth needed to address that gap. Penn gave me the methods (epidemiology, clinical data science, computational health informatics) alongside a clinical perspective that keeps research grounded in real decisions.
Practice
Analytical work across domains
My work spans pharmacovigilance signal detection using FDA FAERS data, real-world evidence study design on OMOP CDM, hospital referral analytics, machine learning for public health, and healthcare AI strategy through the Penn Graduate Consulting Club. The common thread is not the method but the objective: evidence that is rigorous, interpretable, and useful to the people who need to act on it.
Education
Academic background
Master of Biomedical Informatics
University of Pennsylvania · Philadelphia, PA
GPA 3.81 / 4.00
LPDP Scholar
Ministry of Finance, Republic of Indonesia
Expertise
Methods, tools, and domains
Analytical Methods
- Pharmacovigilance signal detection
- Real-world evidence study design
- Cohort design (OMOP CDM)
- Propensity score methods
- Disproportionality analysis (ROR, PRR)
- Random forest classification
- Epidemiological analysis
Data Engineering
- Healthcare data harmonization
- SQL · PostgreSQL
- Python data pipelines
- OMOP CDM standardization
- FDA FAERS processing
- R statistical computing
Domain Knowledge
- Pharmacovigilance
- Real-world evidence
- Healthcare operations
- Hospital referral analytics
- Life sciences strategy
- Public health surveillance
- Clinical informatics
Interested in working together?
Whether you have questions about my work, want to discuss a collaboration, or are exploring how analytical methods could apply in your context, I would be glad to hear from you.