Jordan Moore, PhD
Build the system. Bring people with you.
My career has moved through engineering analytics, semantic data, gaming, web3 economics, sports betting and AI content. The domain changes; the leadership problem is remarkably consistent: define the decision, build the evidence path, expose failure modes and leave the team with a system it can run.
July–September 2026
What that looks like in practice.
New case studies in computer vision, quantitative research and the work of leading dependable data products.
One control plane. Several sports.
Shared interfaces, observable pipelines and clear ownership across independently operated sports-data systems.
Running a live WNBA model
The collection, evaluation, promotion and operating cycle behind a read-only WNBA advisory product.
A dashboard should earn your trust
Building reporting people can rely on: consistent cohorts, complete records, visible uncertainty and a dependable read path.
Current remit
Three ways I lead.
Quant research
Signals, research governance, backtesting, shadow and live validation, monitoring, exposure and promotion evidence.
Technology & AI
Sports-data product architecture, annotation and QA infrastructure, computer vision and benchmark design.
AI product
Event ingestion, retrieval, generation, evaluation and human review for sports editorial workflows.
Operating principles
What teams get from me.
Direction with technical depth
A roadmap that names the decision and the interfaces—not just a sequence of tools.
Visible standards
Validation packs, review criteria and failure taxonomies that turn quality into a team habit.
Calm delivery cadence
Small, observable increments; clear ownership; hard conversations before expensive commitments.
Track record
Across the full data path.
Quant, sports data & AI leadership
Embedded roles spanning research systems, computer vision, annotation infrastructure and sports editorial AI.
Senior quantitative research
Led tokenomics and data-engineering work across Monte Carlo simulation, on-chain pipelines and executive decision systems.
Gaming data science
Forecasting, pricing, churn, experimentation, Snowflake/Tableau pipelines and commercial analytics at Marmalade and Jagex.
Research and analytical foundations
Engineering and retail analytics, semantic-data products and a PhD in computational geometry and image processing.
Beyond work
Still happiest learning something difficult.
I coach judo, run, hike and cycle; I read a lot of military history and take cooking and baking more seriously than is strictly necessary.
Full detail
The full record.
The current CV has the complete chronology and stack.