01
Find the signal
Assemble fragmented sources and identify what the available evidence can actually support.
Chris Schuermyer / Yex Labs
I help people discover the stories buried in their data.
I build transparent models and research tools that turn fragmented evidence, uncertain assumptions, and difficult questions into decisions people can explain and defend.
Featured investigation
What is the fiscal cost of a policy before reliable tax-return data exists?
Oregon’s SB 1507 debate had a familiar problem: policymakers needed to reason about long-run behavioral effects years before complete administrative data would arrive.
Explore the model and methodologyFrom open question to inspectable model
- The gap
- Official estimates captured near-term revenue but could not directly observe future founder, investor, startup, and company behavior.
- The approach
- Combine public evidence, grade every parameter, expose the judgment calls, and simulate a distribution of outcomes instead of asserting one answer.
- The result
- A public decision tool that lets readers inspect, challenge, and replace the assumptions behind the fiscal argument.
How I find the story
Make the reasoning as visible as the result.
The subject changes. The analytical discipline does not.
02
Expose the assumptions
Separate observed facts from estimates, proxies, and the judgment calls hidden between them.
03
Model the uncertainty
Explore ranges, sensitivities, and second-order effects instead of relying on one fragile number.
04
Package the decision
Turn the analysis into a briefing, model, or interactive tool built for the people who need to act.
Selected work
Different subjects. The same kind of problem.
Public policy modeling and transparent fiscal analysis
What is the fiscal cost of a policy before reliable tax-return data exists?
An inspectable Monte Carlo model that separates evidence from judgment and lets policymakers stress-test the claim.
SB1507 QSBS Revenue Impact Model
Explore the modelFinancial modeling and decision support
What range of revenue outcomes is actually plausible for a new market?
A research and simulation workflow that turns scattered market evidence into probability-weighted scenarios.
Market Research Simulator
See the analysisApplied multimodal AI
What can a box of century-old letters reveal about a family’s history?
A living archive that connects handwriting, people, places, dates, and narration into an explorable story.
LivesLived Journal Transcription
Explore LivesLivedWhere this approach helps
When the evidence is incomplete, but the decision cannot wait.
This kind of work is most useful when sources are fragmented, important assumptions are hiding in a spreadsheet, or a technical analysis needs to become a clear public or executive argument.
- Policy
- Investment
- Due diligence
- Business strategy
About
Chris Schuermyer
I’m the founder of Yex Labs. I work across applied AI, quantitative modeling, public policy, and product development.
The subjects vary, but the pattern is consistent: start with a messy question, make the assumptions visible, and build something people can reason with. Yex Labs is the studio through which I publish that work and develop the systems behind it.
Start a conversation
Have a difficult question hiding inside uncertain data?
I help turn complex analysis into models, briefings, and decision tools that policymakers, investors, and operators can actually use.