Research-Informed Practice
Technical research directly informing G7 climate policy, central bank engagements, and AI product architecture decisions.
Academic Background
PhD Studies
Instituto Superior Técnico, Lisbon
Sustainable Energy Systems
Coursework: Energy Systems Economics and Modeling, Energy Systems Optimization, Ecological Economics, Renewable Energy Resources
Research interests: Battery technologies, sustainable energy deployment, blockchain applications in electricity trading and microgrid systems
Research interests: Battery technologies, sustainable energy deployment, blockchain applications in electricity trading and microgrid systems
MSc Business Innovation with International Technology Management
Birkbeck, University of London
Distinction - Awarded Best Overall Student
Dissertation: The European Green Deal and its Impact on Eco-innovation Initiatives
- — Supervised by Professor Klaus Nielsen
- — Comprehensive analysis across three transitional areas: supply of clean energy (EU energy retailers, net-zero technologies), financing the transition (sustainability-linked bonds, climate modeling, transition risk), and deployment of research and innovation (digital economy, distributed ledger technology)
- — Meso-level EU regional analysis (Northern, Southern, Central Eastern, Western Europe)
- — Submitted to Climate Policy journal for peer review
- — Directly informed GFANZ/NZDPU climate disclosure framework design
Climate Finance Certificate
ETH Zürich
Course: 363-1116-00L Climate Finance
Topics: Climate stress-testing methodologies, physical and transition risk assessment, central bank approaches, climate policy frameworks
BA History
UC Berkeley
Minor in Legal Studies
Featured NZDPU Research Projects
CDP Climate Data Quality Analysis
Comprehensive analysis of GHG emissions reporting data quality across the Carbon Disclosure Project (CDP) dataset, examining 40k+ disclosure records from 12,497 companies across 12 industry sectors.
Key Components
- — Organizational boundary variation analysis across 40k+ disclosures revealed that 22% of companies changed their reporting boundaries - undermining year-over-year comparability and requiring platform-level validation controls
- — Methodology shift detection identified that half of companies changed calculation approaches across reporting periods, with Scope 2 market-based showing 61% volatility - exposing data quality risks requiring standardized methodology tracking
- — Sectoral methodology pattern analysis across 12 industries found no strong sectoral causality - methodology choice is company-specific rather than industry-driven, challenging assumptions about sector-level benchmarking
- — GHG inventory exclusions taxonomy development: categorized 6,512 exclusion reasons from 2,012 companies, discovering 79% were company-specific edge cases - informing CDP's questionnaire redesign to capture structured exclusion data
Technical Approach
- — Python-based analysis using pandas and numpy for data manipulation and statistical calculations
- — Sequential change detection algorithms for tracking methodology and boundary changes
- — Statistical analysis including concentration indices (HHI), diversity measures, and entropy calculations
Key Deliverables
- — 16-point recommendation document for CDP platform enhancements
- — Field request prioritization for future questionnaires
- — Data quality improvement recommendations covering validation, methodology, and technical infrastructure
Scope 3 Emissions Deep Dive
Comprehensive 90-page technical analysis of Scope 3 emissions reporting patterns, methodologies, and data quality across corporate disclosures, examining all 15 GHG Protocol Scope 3 categories.
Key Components
- — Materiality misalignment: highest-impact category represents 66% of emissions but only 16% of disclosures, while most-reported category accounts for 60% of disclosures but just 1% of emissions
- — Primary data deficit: 60-90% of emissions calculated without value chain data, relying on estimation methods rather than supplier engagement
- — Outlier impact: implausible values could distort category datasets by 50-95% without validation controls
- — Verification gap: smallest disclosures show under 10% assurance rates versus 60-75% for larger entities, creating systematic underreporting risk
Technical Approach
- — Multi-source data integration (CDP submissions, revisions, sector-specific data)
- — Data cleaning and standardization pipelines
- — Sectoral analysis and pattern identification
India SEBI/NSE Disclosure Assessment
Comprehensive assessment of Indian securities exchange emissions data, cross-checking CDP climate disclosures with NSE (National Stock Exchange) and BSE (Bombay Stock Exchange) regulatory filings. Conducted on behalf of SEBI (Securities and Exchange Board of India).
Key Components
- — Analysis of 334 Indian companies with CDP data
- — Cross-referencing CDP disclosures with NSE/BSE regulatory filings
- — Identification of unmapped identifiers and data reconciliation challenges
Key Findings
- — 305% coverage expansion opportunity through regulatory data integration
- — Significant discrepancies between CDP and regulatory disclosures
- — Large number of unmapped identifiers requiring manual reconciliation
Final Report
"Unlocking India's Hidden Emissions: A Deep Dive into Regulatory Data Reveals 305% More Corporate Climate Disclosures"
Publications & Research
Academic
- — "The European Green Deal and its Impact on Eco-innovation Initiatives" - submitted to Climate Policy journal
Published Work
- — NZDPU News & Publications — Multiple research contributions