Experience
Professional Experience
Haywood Securities — Retails Sales & ECM Intern
Capital markets exposure, risk evaluation, investment banking operations
Supported investment advisors by evaluating $500K–$1B portfolios to optimize exposure
Audited $10M–$80M ECM & IB deal subscriptions for SEC/CIRO compliance
Conducted securities analysis of energy and resource firms to strengthen capital markets decision-making
604 Project Racing — Co-Founder & Finance Director
Financial management and stakeholder relations
Manage budget, capital allocation & partnership funding for 21 elite racers
Lead financial operations and partnership reporting to ensure team longevity
Partnered with HeadsUpGuys, the world’s leading men’s mental health resource, to promote mental wellbeing through cycling
Glotman Simpson Cycling — Director & VP Sponsorship
Capital raising and data-driven decision making
Secured $40K in corporate sponsorships, ensuring full operational funding for 250+ member organization
Built and executed a data-driven strategic sponsorship plan aligned to measurable ROI
Developed KPIs and a Strategic Analysis Report enabling Board-level decision-making
Cycling Canada — Team Canada Track Cyclist
Resilience, discipline, and performance at the highest level
World Championship top 10, World Cup silver medalist, 6-time National Champion
Demonstrated relentless discipline, focus, and resilience in high-performance environments
Balanced 20+ hours per week of training alongside undergraduate studies, demonstrating discipline and time management capabilities
Key Graduate Coursework
Applied Econometrics
Content: Advanced graduate-level econometrics with a focus on causal inference, including instrumental variables, difference-in-differences, and panel data techniques to evaluate real-world policies in food, resource, and environmental economics.
Skills: R/Python data analysis, multiple regression with diagnostics (heteroskedasticity, multicollinearity), panel methods (FE/FD), logit/probit, difference-in-differences, model interpretation, and professional econometric communication through tables, figures, and presentations.
Estimating Econometric Models (Causal Inference)
Content: Graduate-level econometrics focused on regression modelling, causal inference, and panel data methods to answer real policy- and market-driven economic questions.
Skills: Identification strategy design, R-based causal modeling (IV, DiD, dynamic panels), replication of published research, empirical interpretation, and professional critique of causal evidence.
Econometrics with Time Series Analysis
Content: Applied time series econometrics for forecasting and understanding dynamic behaviour in markets and policy, covering autoregressive integrated moving average, vector autoregression, cointegration, and error-correction models in food, resource, and energy sectors.
Skills: Time series modeling and forecasting in R/Python, stationarity testing, impulse-response and shock analysis, model evaluation and comparison (AIC/BIC, forecast accuracy), and interpretation of dynamic economic systems.
Economic Analysis Using Machine Learning
Content: Applied machine learning for economic prediction and decision-making, using high-dimensional and unstructured data (e.g., satellite, sensor, spatial) across climate, food, and environmental systems.
Skills: R-based implementation of machine learning models (random forests, boosting, neural networks), predictive model evaluation and tuning, feature engineering, and communicating results to non-technical stakeholders.
Data Analytics in Climate, Food and the Environment
Content: Practical data engineering and analytics for real-world decision-making in climate, food, and environmental sectors — from sourcing data (SQL/APIs/files) to building reproducible pipelines and communicating insights through clear visualizations.
Skills: SQL querying (joins, window functions), Python ETL and data wrangling, API integration, data validation and documentation, dashboard-ready visualization, and stakeholder-focused analytic storytelling.
Strategic Economic Analysis of Food and Energy Markets
Content: Economic analysis of agricultural and energy commodity markets, emphasizing price formation, forward curves, arbitrage relationships, basis theory, and risk management using futures across space, time, and supply chains.
Skills: Quantitative commodity price analytics in Excel/Python/R, hedging and spread strategy evaluation, interpretation of market efficiency signals, and analysis of specialized derivative products (e.g., weather and electricity).
Futures Trading of Commodities
Content: Practical exploration of hedging and speculative strategies in commodity and currency markets, with focus on lumber and FX futures, basis dynamics, and real-world risk management across global supply chains.
Skills: Futures and options pricing, basis analysis, macro-driven trading decisions, hedging strategy design, spread trading, simulated trading-floor execution, and market interpretation using real-time data.
Quantitative Methods for Resource and Business Management
Content: Analytical decision-making for business and resource sectors using operations research, forecasting, simulation, and optimization to improve performance, resilience, and sustainability in food, environmental, and supply-chain systems.
Skills: Linear programming and Excel Solver optimization, decision analysis under uncertainty, predictive analytics and model evaluation, resource allocation modeling, and clear visual and verbal communication of quantitative recommendations.
Environmental Data Analytics
Content: Applied analysis of environmental datasets—including weather, ecological, and satellite imagery—to support evidence-based decisions in climate, food, and resource management, using R, Python, and Google Earth Engine.
Skills: Geospatial data processing, remote-sensing analytics, data extraction via public APIs, reusable scripting for large datasets, and visualization of environmental indicators for monitoring land, water, vegetation, and wildlife.
Financial and Marketing Management in Agri-Food Industries
Content: Financial performance evaluation, sustainability reporting, and investment decision-making for firms in the food and resource sector — integrating ESG metrics, climate risk, and financing choices to support long-term resilience.
Skills: Financial statement analysis, ratio/risks assessment (DuPont, leverage, breakeven), NPV/IRR capital budgeting, ESG and GHG benchmarking, and dashboard-style communication of financial and sustainability insights.
International and Environmental Economic Analysis
Content: Application of international and environmental economic theory to evaluate trade flows, carbon policy, externalities, and consumer-driven environmental action, particularly in agri-food and resource-intensive markets.
Skills: Policy impact evaluation, welfare and trade analysis, R-based gravity-model coding, evidence-based argumentation, and professional communication through structured policy debates and written briefs.
Key Undergraduate Coursework
Fundamentals of Financial Accounting
Content: Introduction to financial reporting concepts and the structure of financial statements, emphasizing how transactions are recorded, summarized, and interpreted for business decision-making.
Skills: Journal entries and the accounting cycle, preparation and analysis of balance sheets, income statements, cash flow statements, and equity statements, plus key ratio analysis for profitability, liquidity, and solvency assessment.
Quantitative Data Analysis
Content: Introduction to probability, descriptive and inferential statistics, and data visualization for agriculture, food, and environmental applications — bridging real data collection with analytical decision-making.
Skills: Hypothesis testing, ANOVA, regression, Excel analytics, introductory R programming, and data interpretation to evaluate performance and uncertainty in land and food systems.
International Finance
Content: Introduction to international finance theory, focusing on exchange rate determination, open-economy macroeconomic policy, currency regimes, and the dynamics of financial crises in global markets.
Skills: Balance-of-payments analysis, interest rate parity and FX market mechanics, evaluation of monetary and fiscal policy in open economies, and application of theoretical frameworks to real-world currency movements.
International Trade
Content: Economic theory and policy of international trade, examining why countries trade, how trade affects income distribution, and the implications of tariffs, quotas, and global trade agreements.
Skills: Welfare and comparative advantage analysis, trade policy evaluation, modelling trade patterns (Ricardian, Heckscher-Ohlin-Samuelson model, increasing returns), and assessing firm- and worker-level impacts of globalization.
Economics of the Environment
Content: Economic analysis of environmental problems through market failures, externalities, public goods, and policy tools such as taxes, tradable permits, and standards to achieve efficient environmental quality.
Skills: Welfare and cost–benefit reasoning, discounting, environmental valuation (e.g., contingent valuation, travel cost), policy evaluation under uncertainty, and application of economic models to climate, pollution, and natural resource issues.
Economics of Technological Change
Content: Analysis of how innovation drives long-run economic growth and structural change, examining the role of knowledge creation, market failures, institutions, and distributional effects of new technologies across historical and modern economies.
Skills: Application of economic theory to study technological diffusion, critical evaluation of scholarly evidence on innovation and productivity, and assessment of how technology shapes sustainability, labor markets, and inequality.
Seminar in International Economic Relations
Content: Seminar-style exploration of contemporary issues in international economics — including development, inequality, trade, finance, corruption, gender, and environmental economics — through critical engagement with academic research.
Skills: Research paper analysis, literature synthesis, empirical evidence evaluation, professional presentation and discussion, and development of an original research project on a global economic topic. Read about my research project
History of the Global Financial Order
Content: Historical evolution of global financial systems — from central banking and the gold standard to sovereign debt, Bretton Woods, and digital currency — analyzed through the lenses of geopolitics, war, and colonialism.
Skills: Primary and secondary source analysis, interpretation of institutional and monetary regime change, critical evaluation of financial power dynamics, and historical context for modern market structures (e.g., the Fed, IMF, CBDCs).