Sam Arvan

Sam (Meysam) Arvan is a Senior Data Platform Engineer at the Centre for Big Data Research in Health (CBDRH), UNSW Sydney. He leads the design and implementation of secure, governed data platforms that support advanced analytics and research across the health sector. His current work within the CardiacAI project focuses on Snowflake-based data architecture and dbt-driven pipelines, building dimensional data models that transform complex clinical and administrative data into governed, trusted, analysis-ready assets, supported by automated data quality frameworks, privacy controls, and role-based access governance.

Sam also contributes to converting CardiacAI data assets into the OMOP Common Data Model, supporting interoperable, research-ready clinical data. His recent work includes designing governed MLOps and emerging LLMOps frameworks on Snowflake to support auditable model development, validation, and deployment pathways for research and analytics use cases.

With several years of experience in the health industry, Sam has worked across data engineering, data platform architecture, advanced analytics, forecasting, and syndromic surveillance for national virtual-care and public-health programs. He brings a combination of technical depth, systems thinking, and leadership, with a focus on data reliability, governance, privacy, and operational efficiency, enabling research and clinical teams to build on data they can trust at scale.

Sam holds a PhD in Decision Sciences, specialising in predictive analysis in the presence of human intervention, and a Master of Science focused on health system operations optimisation.