Profile
- Biomedical data scientist with 10+ years of experience in data harmonization, bioinformatics, and research infrastructure.
- Experienced in leading system migrations and designing large-scale ETL pipelines for clinical, equipment, biospecimen, omics, and imaging data.
- Skilled in applying machine learning to biomedical datasets to uncover insights into disease progression and treatment outcomes.
- Focused on making complex data reliable, accessible, and useful for impactful biomedical research.
Services
- Data Harmonization & ETL – Build pipelines to clean, map, and transform complex biomedical datasets (clinical, biospecimen, omics, imaging) into standardized formats like OMOP, CDISC, HL7/FHIR, following FAIR principles to enable interoperability and large-scale research.
- Data Systems – Design and implement digital infrastructure for research, including specimen management systems, LIMS, HIPAA-compliant data environments, and electronic workflows that replace manual processes.
- Machine Learning & Analytics – Develop predictive models and algorithms to analyze clinical records, neuroimaging, and omic data, helping uncover insights into disease progression and treatment outcomes.
- Documentation & Training – Produce clear documentation, develop data management plans aligned with funder requirements, and deliver training that makes complex data pipelines understandable and usable by both technical teams and biomedical researchers.
Contact
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