Research & Project Portfolio — Tianyi Ma

This page documents my independent research and applied modelling work across academic and industrial research environments.
My work focuses on long-horizon systems modelling, scenario-based analysis, uncertainty quantification, and decision-oriented optimisation, mainly for energy-intensive systems and infrastructure resilience.

What This Portfolio Covers

A. Long-horizon scenario modelling (multi-decade)

I build and stress-test quantitative models that examine how demand growth, price dynamics, and policy assumptions propagate through energy-intensive systems, supporting robustness checks under baseline vs adverse trajectories.

B. Uncertainty & sensitivity analysis

I use structured scenario design and Monte Carlo-style sampling to map dominant drivers, identify non-linear responses, and quantify downside exposure and tail risk.

C. System structure & energy-flow logic

I represent interdependent components (supply → conversion → storage → demand) and the constraints/bottlenecks that determine feasible operations and long-term performance.

D. Decision-oriented optimisation

Models are organised to produce decision-relevant outputs (comparisons, robustness rankings, constraint binding points), rather than purely descriptive simulation.