Jen-Yu Chen

Optimized nutrient recovery (Struvite) processes via controlled air-stripping and magnesium dosage experiments. Analyzed large-scale pilot-plant sensor data to optimize gas-liquid mass transfer and CO2 stripping variables. Achieved a 50% reduction in air-stripping time by identifying and re-designing key operational bottlenecks. Translated raw experimental findings into actionable technical insights and specifications for full-scale implementation.

Developed a Python-based diagnostic framework for real-time monitoring of full-scale facilities. Performed high-dimensional time-series analysis using NumPy and Pandas to optimize data cleaning and feature engineering. Translated raw sensor data into Actionable KPIs, enabling early-warning detection for process instability and fouling. Visualized complex trends to support operational teams in process stability decision-making.

Managed multiple national projects (€270k+ each) focused on natural disaster warning systems. Lead stakeholder engagement and monthly progress reporting for government-commissioned initiatives. Solved technical and timeline bottlenecks through data analysis and monitoring to ensure project delivery.

Streamlined market analysis by developing a structured database for 5 districts. Facilitated 10+ transactions through data-driven pricing recommendations and client relationship management.

Led a €298k+ air pollution project in collaboration with local government authorities. Managed stakeholder engagement and enforced regulatory compliance for air quality standards for 1.8M residents.