Advanced GIS, healthcare AI, and hazard mitigation analytics — built by a practitioner with 14 years of field experience across three continents and direct clinical operations inside Atrium Health.
Satellite remote sensing, land use mapping, and spatial analysis at national scale. Proven across UK Space Agency, World Bank, and national utility projects.
Pharmacy safety analytics, fraud detection, and clinical decision support — built from inside Atrium Health's dispensing operations.
Wildfire corridor detection and flood risk GIS for rural communities and federal land managers. Methodology proven in Ghana's national wildfire programme.
Affordable business intelligence for rural employers in USDA priority areas. 30% efficiency gains already delivered at community scale.
Full-service professional cleaning across three divisions — specialized medical lab and sterile-environment cleaning, commercial office and facility cleaning, and industrial & post-construction cleanup. Fully insured, background-checked, HIPAA-compliant. Serving Winston-Salem and the Triad.
Luxvia Nova is an independent data science and geospatial analytics practice led by Christopher Ihejirika — a data scientist, GIS engineer, and clinical healthcare professional with over 14 years of multidisciplinary experience across the United States, Ghana, and three continents.
The practice occupies a rare professional intersection: direct clinical pharmacy operations experience at one of the nation's largest health systems, MSc-level machine learning credentials from a U.S. institution, and 14 years of applied geospatial engineering including major international projects funded by the UK Space Agency and the World Bank.
Every service Luxvia Nova delivers is designed for scalability and broad public benefit — not locked to a single client. Our tools are built to be adopted by government agencies, healthcare systems, and community organizations simultaneously.
Our work directly serves documented national priorities: reducing the 1.5 million medication errors that harm Americans annually, detecting $300 billion in healthcare fraud, protecting rural communities from wildfire and flood risk, and closing the data infrastructure gap that disadvantages rural American businesses.
2023 · Certificate of Excellence · Capstone Award · Edgar Rowe & Elliot Belcher Endowed Scholar
Oct 2024–Present · Pentapack HP550 · HIPAA · NC Board of Pharmacy Member · CNA 2026
2010 · 14 Years GIS & Remote Sensing · UK Space Agency Forest 2020 · World Bank REDD+
Pharmacy Technician Certified · Google Cybersecurity · IBM AI Framework · DEQ Underground Storage Tank · Solar Technician
American Association of Geographers · AGI UK · American Statistical Association · ISACA · Ghana Institute of Surveyors · Data Science Central
From satellite wildfire monitoring to AI pharmacy safety — every engagement produces measurable, scalable, documented impact.
End-to-end geospatial intelligence: satellite imagery processing, land use change detection, asset mapping, and spatial health analysis. Applied at national scale across UK Space Agency and World Bank projects.
Satellite-based AI identifying high-risk wildfire corridors, fuel load accumulation, and fire spread pathways. Methodology proven in Ghana's national wildfire programme. Aligned with USDA Forest Service 10-Year Strategy.
High-resolution flood inundation modeling integrating LiDAR, FEMA NFIP data, CDC Social Vulnerability Index, and critical infrastructure exposure for NC counties and rural communities.
ML models detecting medication errors, adverse drug interactions, and dispensing anomalies before patient impact. Built from direct Atrium Health Pentapack HP550 dispensing floor operations.
Isolation Forest and ensemble anomaly detection on CMS Medicare Part D data. Open-source toolkit for HHS OIG, state Medicaid agencies, and private insurers. Published on Kaggle.
Open-source analytics dashboards for rural employers in USDA priority areas. Demand forecasting, inventory optimization, and pricing analysis. 30% efficiency gain and 15% cost reduction already delivered.
From satellite deforestation monitoring for the UK Space Agency to utility asset mapping for Ghana's national power grid — a field-proven track record of large-scale, policy-relevant geospatial work.
Real-time satellite monitoring of deforestation across three countries. Land use change maps and policy alerts adopted by national governments. Contributed to zero-deforestation policy frameworks.
Spatial data management for a results-based conservation payment programme. GIS analysis directly tied to financial outcomes — payments triggered by verified, satellite-confirmed forest conservation metrics.
Satellite change-detection to identify fire spread and high-risk corridors. Contributed to documented reductions in wildfire incidents. Direct methodology precursor to current U.S. wildfire mitigation work.
Comprehensive GIS mapping of national power utility assets. Topographic surveys, remote sensing map updates, and field ground-truthing across the national grid. Staff training programme delivered.
GIS mapping of water quality parameters across Accra's distribution network. Field sample data integrated with spatial layers to identify contamination risk zones. Methodology now applied to NC health disparity mapping.
CDC PLACES, HRSA, and NC DHHS data combined with ArcGIS to produce county-level health disparity maps. Identifies geographic clusters of chronic disease and healthcare access gaps for NC county health departments.
Real, independently verifiable outcomes — not case studies. Confirmed through employer attestation across multiple organizations.
ML pricing analysis engine and customer attrition prediction model. Python-based distribution recommendation system and AWS-optimized data pipelines. Time series forecasting and advanced data mining.
Cohort analysis identifying a 21% strategic pricing opportunity. Predictive demand forecasting improving accuracy by 5%. Comprehensive Tableau operational reporting suite and cross-functional process optimization.
Data-driven inventory management redesign. Customer feedback transformed into product improvements. Community Forestry Service data collection support. Python and R dynamic reporting.
Isolation Forest and One-Class SVM applied to CMS Medicare Part D prescription data to detect anomalous prescribing patterns. Open-source toolkit designed for HHS OIG and state Medicaid agencies protecting $300B in annual spend.
Open-source business analytics toolkit for USDA rural development priority areas and SBA HUBZone communities. Pre-configured Power BI dashboards deployable without enterprise IT infrastructure.
Python-based analysis of the COVID-19 pandemic's effect on the global economy. Time series modeling, data visualization, and economic analysis across GDP, unemployment, and trade data for 50+ countries.
ML models trained on prescription dispensing patterns to flag high-risk medication combinations before patient impact. Built from direct Atrium Health Pentapack HP550 operational experience. Targets 1.5M annual U.S. medication errors.
Salesforce configuration for admissions analytics. Automated workflows, applicant pipeline dashboards, and conversion tracking. SQL database schema design and backup/migration strategies.
CDC PLACES, HRSA rural health, and NC DHHS datasets combined with ArcGIS spatial analysis to produce interactive county-level health disparity maps for NC county health departments.
14 years of satellite remote sensing and GIS expertise applied to the most urgent natural hazard challenges facing rural American communities and federal land managers.
Satellite-based AI identifying high-risk wildfire corridors, fuel load accumulation, and fire spread pathways — giving land managers and rural communities the intelligence to act before disaster strikes.
50M+ acres of U.S. high-risk landGIS-based flood risk zone modeling combining FEMA flood maps, LiDAR elevation data, land cover analysis, and CDC Social Vulnerability Index — identifying the communities most in need of protection.
40% of U.S. counties face elevated flood riskThis work directly serves the USDA Forest Service 10-Year Wildland Fire Strategy, FEMA's National Flood Insurance Program, NOAA flood risk programmes, and the NC Department of Public Safety Hazard Mitigation Plan. Particularly critical for rural NC communities in the path of both Appalachian wildfire risk and Atlantic hurricane-driven flood events.
From RTK surveys in Accra to satellite deforestation monitoring — the spatial thinking skills field work builds.
Fuel load detection, change-detection algorithms, and how Ghana's Wildfire GIS methodology applies to USDA's 50M-acre challenge.
Clinical operations knowledge separates useful healthcare AI from theoretical models that never get deployed.
Why integrating CDC SVI, infrastructure exposure, and LiDAR elevation data paints a more accurate flood risk picture.
The cohort analysis methodology behind a counterintuitive pricing opportunity and what it means for rural business analytics.
What satellite deforestation detection across Ghana, Brazil, and Kenya teaches us about U.S. federal forest land monitoring.
Python code, results, and clinical interpretation of CMS Medicare Part D anomaly detection — published on Kaggle.
Analysis of overlapping wildfire corridor and flood inundation risk for NC Piedmont communities and what resilience planning must account for.
Field geospatial skills — messy real-world data, high stakes, limited tools — and why data science needs more of them.
From RTK surveys to satellite monitoring — the spatial thinking that field work builds.
What satellite deforestation detection across Ghana, Brazil, and Kenya teaches about U.S. forest land monitoring.
Why integrating CDC SVI, infrastructure exposure, and LiDAR paints a more accurate flood risk picture.
Clinical operations knowledge separates useful healthcare AI from theoretical models that never get deployed.
Python code, results, and clinical interpretation of CMS Medicare Part D anomaly detection.
Fuel load detection, change-detection algorithms, and the Ghana methodology applied to USDA's 50M-acre challenge.
Analysis of overlapping wildfire and flood risk for NC Piedmont communities.
The cohort analysis methodology behind a counterintuitive pricing opportunity.
Field geospatial skills and why data science needs more of them.
Full-service commercial and clinical cleaning across offices, medical facilities, industrial sites, and post-construction environments — delivered to the highest professional standards with trained, insured teams.
Sterile-environment cleaning for medical labs, clinical spaces, dental offices, research facilities, and healthcare settings. Our teams are trained in biohazard protocols, cross-contamination prevention, and infection control standards — meeting OSHA, CDC, and HIPAA facility cleanliness guidelines.
Professional cleaning for offices, retail spaces, schools, churches, gyms, warehouses, and commercial facilities of all sizes across Winston-Salem and the Triad region. Scheduled daily, weekly, or monthly — or one-time deep cleans for any occasion.
Heavy-duty industrial cleaning and post-construction cleanup for construction sites, manufacturing facilities, warehouses, and newly completed buildings. We handle the debris, dust, adhesive residue, and finishing-stage cleanup so contractors and developers can hand over pristine spaces.
Luxvia Nova Lab & Cleaning Services operates across Winston-Salem, Greensboro, High Point, and surrounding Forsyth, Guilford, and Davidson counties. We service facilities of all sizes — from single-room medical labs to multi-floor commercial office buildings and large industrial sites. Free estimates on all projects. Emergency and after-hours service available 24/7.
Whether you're a healthcare system, rural employer, federal agency, GIS research institution, or hazard mitigation organization — every project we take on is designed to produce publicly documented, nationally relevant impact.
We respond to all messages within 24 hours.
National Forest Monitoring · REDD+ · UK Space Agency Forest 2020 · Forestry Commission of Ghana
Supervised Random Forest classifications produced for national forest monitoring — exported as decision-support cartographic outputs for the Forestry Commission of Ghana and international project partners.
Classified maps above are representative cartographic outputs illustrating land cover classes derived from supervised Random Forest classification applied to multi-source satellite data. Actual project outputs were submitted as GeoTIFF exports and ArcGIS layout PDFs to Forestry Commission Ghana, World Bank, and UK Space Agency project teams.