Christian L’Orange CSU · Engineering · Research
Platforms & data tools

The infrastructure behind complex research.

From participant workflows and sensor fleets to geospatial decision support, these systems turn distributed work into structured, reviewable, usable data.

National monitoring studyLive

PM OPERA

A participant-facing and research-operations platform supporting a distributed national particulate-matter monitoring study—from recruitment and eligibility through sampler logistics, field data, filter inventory, and study communication.

  • Participant workflows
  • Sampler fleet operations
  • PostgreSQL data model
  • Automated validation
Explore platform ↗
Community air-quality platformLive

SLVAir

A public-facing environmental data platform created to make local air-quality measurements easier to explore, interpret, and use.

  • Public dashboard
  • Time-series data
  • Community access
  • Mobile-ready views
Explore platform ↗
Smoke intelligence systemIn development

RADSENSE

A research dashboard combining distributed samplers, regulatory monitors, lower-cost sensors, trends, and smoke forecasts to support rapid-response field decisions.

  • Sensor fusion
  • HRRR-Smoke
  • Geospatial dashboard
  • Trend alerts
Monitoring-network designResearch platform

GRASP

A geospatial decision-support workflow for selecting representative monitoring sites using population, vulnerability, exposure, coverage, and user-defined priorities.

  • Site optimization
  • 1 km grids
  • Spatial weighting
  • Scenario comparison
Research operationsOperational

Field Operations Stack

Connected tools for device assignment, sample validation, equipment health, participant communication, inventory, shipping, and exception management.

  • Device health
  • Slack alerts
  • Inventory logic
  • Audit trails
Decision supportExamples

Applied Data Tools

Reusable patterns for cleaning difficult datasets, designing durable databases, automating recurring work, and turning technical data into usable decisions.

  • ETL pipelines
  • Data QA
  • Dashboards
  • Workflow automation
Explore platform ↗
Technical stack

Purpose-built tools with maintainable foundations.

Technology choices follow the workflow and lifecycle of the project—not the other way around.

PythonFlaskPostgreSQLSQLAlchemyREST APIsJavaScriptLinuxNginxGitHubGeospatial analysisSensor telemetryAutomated QA/QCSlack workflowsData visualization
Need a similar system?

Orange House translates these patterns into consulting work.

Database design, data cleanup, automation, dashboards, sensor systems, and focused internal applications.

Visit Orange House ↗