I solve complex problems with analysis, structure, and clarity.
Economics graduate with a background in quantitative modeling, strategic research, and data analysis. I focus on turning complex ideas into structured insights that support business and policy decisions.
A profile built for problem solving.
My background is in economics, quantitative analysis, and strategic problem solving. I studied economics at the University of Miami and completed graduate studies at the University of Sydney, focusing on advanced microeconomics, game theory, and mathematical modeling.
During my research work at the University of Sydney, I developed computational models to study information cascades and sequential decision-making. The project involved Bayesian updating, equilibrium computation, and large-scale simulations.
Beyond academic research, I have also worked in financial data research and policy analysis environments. These experiences helped me develop a practical mindset: translating complex analysis into insights that are useful for organizations, teams, and decision-makers.
Experience that connects rigor with execution.
Research Assistant / Independent Researcher
- Built quantitative models for sequential decision-making, information cascades, and voting-rule design.
- Developed Mathematica-based equilibrium-solving algorithms and simulation workflows.
- Translated academic research into practical strengths in strategic analysis, mechanism design, and structured problem-solving.
Group Cascades in Strategic Voting
Bridging information cascades and strategic voting to study how fixed voting rules shape long-run learning.
PosteriorUpdate[p_, h_] := (p * PrHGivenR[h]) /
(p * PrHGivenR[h] + (1 - p) * PrHGivenL[h])
CascadeQ[p_, rL_, rR_] := p <= rL || p >= rRFund Data Research Analyst
- Supported global fund database maintenance and data-quality control across teams.
- Worked with brokers and internal stakeholders to verify, complete, and improve financial data processes.
- Strengthened cross-functional communication and analytical thinking in real business workflows.
AI-Assisted Table Analysis Workflow
Turning spreadsheet review into a structured workflow for anomaly detection, summary generation, and business-facing analysis.
Policy Research Intern
- Drafted industry development reports, private-fund review materials, and policy analysis notes.
- Participated in compliance-related visits and financial sector research.
- Helped organize financial news and improve content classification logic for public-facing materials.
This Website Started From A Classification Problem
My work organizing financial news and public-facing materials made me think more seriously about content structure, usability, and how much friction weak information architecture creates.
- Public content systems can become expensive to maintain when layout and classification are rigid.
- That limitation became part of the motivation for building my own website quickly and more intentionally.
- What readers see here is not just a portfolio, but a response to real constraints I observed in practice.
Projects and capabilities worth showing.
Information Cascades in Group Decision-Making
Designed a computational framework to study how different voting rules affect collective learning, decision quality, and cascade risk in sequential group settings.
Economic & Policy Analysis Toolkit
Built a practical skill set across econometrics, causal inference, and policy-oriented analysis, including OLS, DID, 2SLS, and structured evaluation frameworks.
Business-Facing Research Translation
Converted academic and analytical work into business-relevant narratives, helping frame research outputs in ways that are useful for consulting, strategy, and decision support.
A skill set that fits strategy and consulting environments.
Let's connect.
I am building opportunities at the intersection of economics, analysis, and business problem solving. For roles, collaborations, or conversations, feel free to reach out.