About
PhD researcher at the Technical University of Munich (TUM) developing the ENDEMO (Energy Demand Modelling) framework to forecast energy demand and carbon emissions across ASEAN's residential, commercial, industrial, and road transport sectors, with Singapore as a detailed national case study. Skilled in Python-based bottom-up modelling, econometric analysis, and scenario development for decarbonisation pathways and EV adoption. Six years of applied research experience spanning solar PV performance analysis, sustainability projects, and multi-sector energy forecasting.
Experience
Research Associate
- Developed and integrated bottom-up road transport energy demand models into the ENDEMO framework, enabling multi-sector forecasting across 10 ASEAN member states.
- Built multi-variable econometric models incorporating technology adoption curves, demographic variables, and policy scenarios to project EV penetration and fleet turnover through 2050.
- Conducted scenario analysis quantifying decarbonisation pathways and EV adoption impacts on ASEAN energy demand and carbon emissions across reference, moderate, and accelerated transition cases.
- Modelled and forecasted ASEAN-wide electricity demand, informing regional energy planning and infrastructure investment decisions.
- Presented research on road transport energy demand, emissions forecasting, and decarbonisation pathways at IEEE PES APPEEC 2025, Auckland, New Zealand (2–5 December 2025).
Research Engineer
- Completed a Temasek Foundation sustainability project on solar PV system yield and performance analysis, delivering actionable insights on system degradation and optimisation across multiple field installations.
- Designed and executed field experiments for data collection and analysis using Python (Pandas, NumPy, Matplotlib), translating raw sensor data into stakeholder-ready insights and milestone reports.
- Prepared and submitted research publications for peer-reviewed conferences and journals, contributing to the lab's publication record across renewable energy topics.
- Mentored over 12 undergraduate and postgraduate FYP students with technical guidance on experimental design, data analysis, and scientific writing.
- Delivered hands-on training to over 150 undergraduate students on spectrophotometer operation and experimental data collection, and supported 400+ students through physics laboratory sessions.
Relief Educator
Two teaching engagements supporting schools within the Singapore public education system.
Education
PhD, Energy Systems Engineering
- Thesis: Multi-sector energy demand forecasting and emissions modelling for ASEAN countries using the ENDEMO framework, with Singapore as a national-scale case study.
- Sectors covered: residential, commercial, industrial, and road transport; with a focus on transport decarbonisation and EV transition pathways.
M.Sc., Power Engineering (Coursework)
Dissertation: PV system performance analysis through field experiments, numerical techniques, and PVSyst simulations.