Research data systems
Study design, digital instruments, multi-country field teams, and HFCs that catch errors while collection is still running.
ODK · KoboToolbox · REDCap · HFC · XLSForm
Data & Research Systems Architecture · Health and Development Programmes
Nichodemus Amollo
I own the research data architecture that health and development programmes depend on to make decisions they can defend.
Study databases, quality governance, analytic pipelines, and the decision products built on top — designed as one system rather than assembled per project. Currently leading research data architecture and statistical operations for Georgetown gui2de's East Africa portfolio, and setting the reproducibility standards teams keep working to after handover.
Study Design
Survey Systems
ODK / Kobo / REDCap
HFC & Quality
ETL Pipelines
Field Ops Apps
R · Python · SQL
Dashboards
Causal Targeting
Current Work
End-to-end data architecture for a 300-household, twelve-month diaries panel.
Automated quality governance and live field operations applications at Georgetown gui2de.
8+
Years
3
Countries
300
HH diaries (1 yr)
7
Facilities (thesis)
Expertise
Programme evidence, end to end.
Built for research and delivery teams operating under real field constraints — not classroom demos.
Quality architecture & ops apps
Pipelines, validation layers, and live tools for supervisors — leaderboards, issue feeds, and dashboards on the study database.
SQL · R · Python · Streamlit · Shiny
Analysis & decision products
Mixed methods, biostatistics, and evidence translation for funders, ministries, and programme leadership — including model-to-app targeting tools.
Stata · R · Causal methods · Power BI · Quarto
Process
From field capture to a decision someone can defend.
Five steps. Quality, speed, and trust stay intact under real operations.
Design & instruments
Protocols · ODK · Kobo · REDCap
Scoping, tool digitization, and offline-ready CAPI that set quality before the first interview.
Field teams & HFC
Training · Supervision · Daily QC
Enumerator systems, high-frequency checks, and debriefs that catch errors before they compound.
Pipelines & automation
SQL · R · Python · Validation
Reproducible cleaning and quality layers so analysis does not start from a new spreadsheet firefight every cycle.
Analysis & models
Biostats · Mixed methods · Causal
Descriptive through econometric and causal work that names trade-offs instead of hiding them.
Products & decisions
Dashboards · Shiny · Briefs
Ops apps, policy briefs, and recommender tools that programme teams can actually use.
Selected Work
Real delivery, not demos.
Programme data systems, field apps, and original health systems research. Methods-lab projects live under Projects when you want tooling samples.
Health financial diaries systems
Three hundred households over one year: HFCs, automated quality workflows, an RA leaderboard, and a fuel/issues app that aggregated field problems in real time as data streamed into the study database.
Read case study →
Cash-plus targeting recommender
Shiny decision-support app for IRC field teams. I built the application layer from gui2de causal targeting models so caseworkers can score Cash vs Cash + Network with cost-aware rationale.
Case study & live app →
Financing chronic care in rural Kenya
Seven-facility mixed-methods study on facility decision space, stockouts, and why clinics can diagnose but still fail to sustain hypertension and diabetes care.
Read thesis →Kisumu cancer surveillance dashboard
Research data management for multi-year oncology records: REDCap architecture, quality systems, survival analysis, and a county-facing dashboard launched with local leadership.
Read delivery story →Writing
Field notes worth reading.
Three public pieces that match the work above — research translation, diaries systems, and model-to-field judgement.
When clinics can diagnose but cannot buy medicines
Facility decision space and chronic care, from the BMC Public Health paper.
Read essay →Systems behind a year of health financial diaries
300 households, HFCs, and live ops apps on a streaming study database.
Read note →From field to model
Why domain knowledge still shapes useful targeting and ML systems.
Read note →Stack
Grouped by the layer it holds up.
No skill bars. Tools appear under the system layer they own, and only because they shipped something in the field or in analysis — not because of a self-score.
Data architecture & engineering
PostgreSQLSQLRPythonETL designGit
Field capture & quality governance
ODKKoboToolboxREDCapSurveyCTOXLSFormHFC systemsDHIS2/KHIS
Analysis & causal method
StataRSurvival analysisForecastingCausal forestQuasi-experimental
Decision support & reporting
ShinyStreamlitPower BITableauQuartoR Markdown
Background
Where I have worked and learned.
A track record built through delivery, not just titles: research systems, public health analytics, cross-country fieldwork, and reporting that senior stakeholders can act on.
Experience
Lead Research Data Manager
Georgetown University gui2de · Remote / Kenya
Own the study data architecture and quality governance for a 300-household, twelve-month diaries panel, and delivered the production targeting application IRC caseworkers use on Re:BUiLD.
Senior Statistician and Data Systems Lead
KEMRI · Nairobi and Kisumu
Led the oncology registry architecture, quality control, and survival-analysis workflows behind a county-facing cancer surveillance dashboard and co-authored papers on cancer survival and mortality risk.
Senior Research Data Manager and Evaluation Lead
JOOUST and VLIR UOS · Kenya, Uganda, Rwanda
Standardised schemas and quality protocols across three countries so partner datasets could be pooled rather than reconciled by hand, and trained 30+ staff to run the pipelines unaided.
Data Analyst and MEL Specialist
LERIS Hub · Kenya and Uganda
Designed the monitoring architecture — indicator logic, collection workflows, and reporting layer — for health and livelihoods programmes across two countries.
Education & Certifications
MSc, Epidemiology & Biostatistics
JOOUST · Kenya
Thesis focus on financial determinants of effective hypertension and diabetes care in rural primary facilities.
BSc, Statistics (Honours)
University of Nairobi · Kenya
Second Class Upper Division.
Professional development
Google Data AnalyticsM&E in Global HealthEconomic EvaluationBiomedical Research EthicsCITIAWS Cloud PractitionerAdvanced R
Life Beyond Data
Field, farm & people.
A window into the life that informs the work: communities, land, teams, and the long view behind the numbers.
Goat Farming
KESHO Conference
Community & LabourWhat if we worked together?
Whether you need a research partner, an analyst embedded in your team, or someone to build the M&E system from scratch, I’d like to hear from you.
For teams building better health systems, stronger data infrastructure, and decision-ready evidence that can survive real-world operations.
Nairobi, Kenya. Open to remote and hybrid work, with replies usually within 48 hours.