Na Li

– Bridge modeling and engineering by converting dispatch outputs into real‑world test protocols, en‑ abling lab validation of optimized battery operation strategies. – Engaged in strategic planning for market positioning and commercialization pathways, aligning innova‑ tion with regulatory and customer needs.

• Project coordination & execution – Lead and deliver cross‑functional innovation workstreams (modeling, engineering, testing) aligned with the battery system development roadmap. – Coordinate timelines, manage stakeholder expectations (internal and external), and ensure alignment with market‑facing product requirements. – Translate abstract modeling outputs into actionable test plans and supervise a feedback loop with the engineering team for performance validation.

• Leadership and mentorship – Oversee multi‑month student projects with milestone‑based planning, task delegation, weekly review cycles, and final reporting—training students to deliver under real‑world constraints.

Energy system modeller Go‑E project – Develop fundamental power market models to assess renewable integration pathways and system flex‑ ibility needs. – Build forecasting tools using Lasso regression, neural networks, and real‑time data ingestion pipelines to predict day‑ahead market prices.

– Acquire theoretical grounding in electricity markets, hedging strategies, and risk‑return analysis through self‑study of Energy Trading and Risk Management; apply concepts to storage value modeling and long‑ term strategy assessment. – Study power system planning models (economic dispatch and capacity expansion) to evaluate policy and technology scenarios.

• Project coordination and reporting – Coordinate academic–industry collaboration; lead stakeholder workshops and author technical deliv‑ erables and academic papers.

• Supervision and mentoring – Supervised three MSc students from project definition to final defense, providing weekly feedback and technical direction.

• Internal and International collaboration – Internal collaboration with a PhD candidate on quantifying EV flexibility under segmented network tar‑ iffs, contributing to optimization model development and academic publication. – International collaboration with IEA on "Social Licence to Automate" project, contributing to data col‑ lection, questionnaire design, stakeholder engagement and co‑author academic papers.

• Develop a sizing framework for a self‑sufficient hydrogen‑based energy system integrating PV, electrolyzers, fuel cells, and energy storage in the built environment.

• Communicated project insights through newsletters and supervised MSc students on renewable system inte‑ gration in smart building environments.