I design interfaces that keep high-stakes decisions from being made on misread data.
Across climate risk, options trading, workforce planning, clinical benchmarking, and talent mapping, the same failure repeats: dense model output is easy to misread, and the consequence lands in capital, care quality, headcount, hiring, and decisions that are expensive to reverse.
I call this Trust Architecture: designing systems that do not just output an answer, but expose the mechanism behind the answer, keep uncertainty or topology legible, and make the next action defensible rather than merely confident.
Reveal the mechanism
I design decision interfaces that show what drives the recommendation, which assumptions matter, and where the model stops being certain.
Keep uncertainty visible
I do not flatten probabilistic systems into fake certainty. Range, confidence, and consequence stay legible in the interface.
Support accountable action
The output is not just a screen. It is a decision artifact a portfolio manager, operator, or staffing lead can defend in a real review.
Where Misreading Breaks Decisions
The through-line in this portfolio is not the industry. It is what happens when people misread dense information under pressure. The value proposition is direct: the stakes of misreading data are measured in capital, risk, and decisions that cannot be undone.
Climate Risk
22,000 probabilistic data points can turn into incorrect investment calls. The portfolio solution is to keep uncertainty visible in the interface.
Options Trading
Traders misread the volatility surface and commit capital on the wrong read. The portfolio solution is linked decision geometry across slice, grid, spread, and strategy views.
Workforce Planning
Staffing uncertainty gets flattened into false precision and headcount is misallocated. The portfolio solution is an allocation model that turns uncertainty into actionable moves.
Clinical Benchmarking
Exception patterns are missed and care quality risk stays hidden too long. The portfolio solution is an exception-led command center.
Talent Mapping
Candidates are misread because expertise is treated like a list instead of a network. The portfolio solution is graph navigation that makes expertise topology visible.
Selected work
A disclosure platform for Tier 1 banks and insurers. Turns 22,000 probabilistic climate data points per asset into investment committee-ready risk intelligence, without hiding the uncertainty that would otherwise lead to incorrect capital calls.
A linked decision-support workspace for options traders. Keeps the same market context alive across surface, slice, grid, spread, and strategy views so the desk does not misread the field and carry the wrong trade geometry into action.
A public-safe reconstruction of a private-capital coverage portal. Rebuilt from archival wireframes and notes, it shows how signal triage, company context, notes, and follow-up tasks work as one connected workflow.
Built and shipped a workforce planning product around a custom allocation model. Designed the interface, the system logic, and the decision layer that turns staffing uncertainty into actionable operating moves instead of misallocated headcount.
A clinical performance benchmarking system for 101 physicians across 4 years of data. Rebuilt as an exception-led command center so missed exception patterns become visible before they turn into care quality, equity, or workload risk.
An enterprise talent mapping interface built for a major financial and legal intelligence platform. Roster, Org Grid, and Talent Network views prevent candidate misreads by making the topology of expertise visible across a 200-person pool.
About
Senior product designer with 15 years building interfaces where the stakes of misreading data are measured in capital, risk, and decisions that cannot be undone.
I work at the intersection of financial data, institutional decision-making, and complex information systems. The common thread is not the domain. It is the user: someone who must make a high-stakes call using a model they did not build, on a timeline they cannot control.
I previously founded Staffing Radar, a workforce analytics application built around a custom mathematical allocation model. I built the product, the model, and the interface, then shipped it.
Climate Risk Platform
Derivatives Exchange
Financial Data & Infrastructure
Product Design & Engineering
Alternative Asset Management
Legal & Financial Intelligence