Performance Evidence Definition: You translate system-level and scale-up questions into clear experimental objectives and KPIs, define required datasets and operating windows, and ensure that testing generates reliable, traceable, and decision-ready performance evidence. Experimental Data Analysis: You process and structure KPI-based datasets with statistical rigor, identify trends and operational limits, evaluate thermal or transport constraints, and quantify uncertainty to deliver robust insights from experimental results. Model Validation
