$ cat ~/interests.md | simulate --monte-carlo
Interests
What I think about when I’m not building: mostly where product decisions and risk math meet.
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01
Portfolio margin and scenario risk Quant
How one worst-case grid of spot and volatility shocks can replace a stack of per-position rules, and where it breaks: correlated alts, gap moves, thin books.
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02
Making options legible Product
Showing payoff, Greeks and margin impact before a trader hits submit, so a volatility surface reads as a decision instead of a wall of numbers.
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03
Collateral and liquidation design Quant · Product
Cross-asset haircuts, partial liquidations, and how every risk parameter eventually shows up as something a user feels.
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04
Market structure Quant
Orderbooks versus block RFQ for multi-leg trades: who gets filled, at what price, and what the venue learns from the flow.
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05
Default as tail risk Research
My student-loan paper is a credit-risk problem in disguise: who defaults, when, and which observable features show up first.
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06
Verifiable, private computation Technical
From the confidential computing in Arnor to zero-knowledge proofs settling trades on Ethereum: proving a system did the right thing without exposing the data.