I study markets,
build models, and
turn data into decisions.
Research made
operational.
Projects built to answer real financial questions—grounded in transparent assumptions, reproducible analysis, and useful outputs.
View all projects ↗Institutional Equity Valuation
An end-to-end research system that turns SEC filings and market data into forecasts, valuation models, investment memos, and thesis diagnostics.
- SEC XBRL
- DCF
- Comparable Companies
Macro-PCA Portfolio Engine
A macro regime-detection and tactical allocation engine that compresses high-frequency economic indicators into a lag-aware portfolio signal.
- PCA
- Macro Research
- Regime Detection
Digital Asset Valuation
A reproducible research program testing whether token design, usage, supply, liquidity, security, and reserve quality explain digital-asset valuation and risk.
- Digital Assets
- Stablecoins
- Panel Data
“The model matters.
The assumptions matter more.”
Financial intuition
Start with the economics, incentives, and decision—not the technique.
Transparent systems
Keep data lineage, assumptions, limitations, and model health visible.
Useful outputs
Translate analysis into a memo, dashboard, model, or recommendation.
Notes from the
workbench.
Working ideas on valuation, markets, risk, and the process of building better financial models.
Browse all writing ↗Building an institutional valuation platform from SEC filings
What it takes to move from raw XBRL facts to a valuation process that is auditable, reusable, and decision-ready.
LearningWhat a CDO simulation teaches us about correlated credit risk
Why diversification can appear robust until the dependence structure—and the tranche waterfall—begins to matter.
Research JournalToward a systematic framework for valuing digital assets
A research agenda for separating asset categories, economic claims, network activity, and investable signals.
Engineer by training.
Investor in progress.
My path runs from electronics and computer engineering, through applied AI and published machine-learning research, to financial engineering at NYU.
That combination shapes how I work: understand the economics, build the system carefully, and communicate the result clearly.
More about me ↗