Typed Scientific Data Pipeline with Generics and Validation

Design a type-safe data transformation pipeline for processing multi-dimensional scientific datasets using TypeScript's advanced type system. Create a generic pipeline that can handle different data types (numerical arrays, time series, spectral data) with compile-time type checking. Implement runtime validation using zod or io-ts, ensuring data integrity across different scientific domains like genomics, climate research, and particle physics. Include error handling mechanisms that provide detailed type-safe error reporting without losing performance.