haoranfu.me / personal index

Haoran (David) Fu

Columbia M.S. candidate working across research systems, energy finance, and operator-led project execution.

I build rigorous data workflows, research dashboards, and finance materials that make complex decisions easier to inspect. This site is a concise public home for selected research, project work, and CV highlights.

Current
Columbia ERM
Focus
Research systems
Bridge
Energy finance

Research

Reproducible work, public datasets, and research interfaces.

01

Climate economics dashboard work

Built and QA'd interactive research views for decarbonization modeling, translating figure outputs and source-data structures into cleaner inspection workflows.

02

Public pension data QA

Worked on public pension funding and private-equity return checks with source manifests, workbook validation, parser tests, and reproducibility documentation.

03

Research production systems

Organized code, data checks, and review packages so quantitative work can be rerun, audited, and handed off without losing context.

Projects

Finance, operating, and quantitative work.

Energy finance

Renewable energy advisory support

Market research, financial modeling, transaction support, and climate-risk analysis in renewable energy finance and environmental markets.

Founder/operator

New Vision Education

Built an education business to two physical campuses and 300+ active students, managing full P&L, operating systems, and team KPIs.

Quantitative finance

Modeling and analytics tools

Developed derivatives pricing, valuation, macro-data, and portfolio-risk workflows using Python, Excel, SQL, and financial modeling tools.

CV

Selected highlights.

2026

Columbia University

M.S. in Enterprise Risk Management candidate. CFA Level I and FRM Level I passed.

2026

Summer Associate, energy finance and advisory

Renewable energy market research, financial modeling, pitch materials, ESG analysis, and client-facing due diligence support.

2019-2025

Founder & CEO, New Vision Education

Built and operated a multi-campus education business with 300+ active students and strong retention.

2018-2019

Baird and Jefferies

Equity research and investment banking internships focused on market analysis, due diligence, valuation, and financial modeling.

Tools and strengths

  • Python, Pandas, Scikit-learn, SQL
  • Excel, VBA, Power BI, Bloomberg
  • DCF, SOTP, LBO, Monte Carlo modeling
  • Due diligence, project management, risk assessment

Contact

For research, finance, and project conversations.

The best public links are simple for now: Columbia email, LinkedIn, and this domain.