Caroline Morton

Posts tagged: Scientific Software

All Posts Data (13) Health Data (13) Rust (12) PhD (8) Reproducibility (8) Synthetic Data (8) Open Science (7) Errors (6) Software Reliability (6) Systems Programming (6) Women in Rust (6) Electronic Health Records (5) SNOMED (5) Codelists (4) Data Pipelines (4) Data Privacy (4) Machine Learning (4) AI (3) Data Science (3) Readability (3) Scientific Software (3) Data Quality (2) Adapter Pattern (1) Code Review (1) Data Validation (1) Databases (1) Design Patterns (1) Epidemiology (1) Functional Programming (1) GANs (1) Health Tech (1) ICD-10 (1) Maintainability (1) Mental Models (1) Observability (1) OMOP (1) OPCS (1) Privacy Metrics (1) Representativeness (1) Research Code (1) Scientific Computing (1) Serde (1) SurrealDB (1) Testing (1) Type System (1) Vector Search (1) Women in Tech (1)

Applying the Open-Closed Principle to Research Code

Applying the Open/Closed Principle is how you stop accidentally changing yesterday's results.

The Single Responsibility Principle for Scientists Who Write Code

Exploring the Single Responsibility Principle in the context of scientific programming and data analysis.

Why Rust for Data-Intensive Applications

Explores why Rust matters for research data pipelines - not for performance, but for correctness. Learn how Rust's type system prevents data failures.