Asher Wang

Asher Wang / Jamison, PA

Product-driven builder with a deep interest in quantitative risk architecture.

I build products end to end and do research where the data gets hard. Now: MiniMap, real-time spatial intelligence for first responders. Before that, I founded Fireside Furnishings, a retail and private label company with hundreds of monthly purchases, and led first-author research on financials and precision theranostics.

MIT RSI ’26 · Regeneron ISEF Winner · ICDC Winner

Open to a winter internship: product, quant-curious

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Highlights

33US warehouses stocking Fireside Holdings LLC dba Fireside Furnishings®
Top 5Ranked #4 worldwide in Retail Merchandising at ICDC; ICDC winner and state champion
1.7%acceptance rate, MIT Research Science Institute; also admitted to TASS (~3%)
$3kHumane Science International Award at Regeneron ISEF
CoverFirst-author cover article in Pathogens
4first-author papers and abstracts across finance, microbiology and oncology
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Work

Description Category
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Interests

What I think about when I’m not building: mostly where product decisions and risk math meet.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

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Contact