UCL Personal Profile Now Open to Public

UCL Researcher Profile Now Public

My official UCL researcher profile is now open for public access:

profiles.ucl.ac.uk/101734-haotiantianyi-ma

The profile provides a comprehensive overview of my doctoral research in Systems Modelling and Optimisation at the Department of Chemistry, University College London.

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Research Summary

My work sits at the intersection of infrastructure systems, climate transition pathways, and long-horizon resource resilience. I develop integrated modelling toolchains that connect:

• Electrochemical system dynamics
• Infrastructure performance constraints
• Stochastic operating environments with decision-relevant sustainability metrics

By combining physics-based system representation, statistical calibration, and scenario-based optimisation, I construct structured analytical frameworks capable of evaluating infrastructure transitions under deep uncertainty.

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Methodological Pipeline

I develop reproducible quantitative modelling pipelines that integrate:

• Physics-based electrochemical system models
• Data-driven parameter calibration and statistical estimation
• Scenario-based optimisation frameworks

Moving beyond deterministic forecasts, my methodology explicitly incorporates probabilistic assessment through Monte Carlo simulation and global sensitivity analysis, enabling transparent exploration of system vulnerabilities, trade-offs, and resilience thresholds across 10–20 year planning horizons.

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Core Expertise

1. Probabilistic Cost & Risk Analysis — P10/P50/P90 distribution models to evaluate financial risks and system sensitivities under extreme operating conditions
2. Techno-Economic Modelling — Economics of hydrogen production and hybrid energy storage under fluctuating electricity prices and carbon policies
3. Degradation & Lifecycle Cost Mapping — Impact of electrochemical degradation on component replacement cycles and long-term capital expenditure
4. Sensitivity Analysis & NPV Optimization — Multidimensional sensitivity testing to isolate primary financial drivers

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Contact

• Email: haotian.ma.24@ucl.ac.uk
• ORCID: 0009-0008-3022-1636
• LinkedIn: LinkedIn Profile
• Google Scholar: Scholar Profile
• Personal Site: tianyma.github.io