Clinical & Research Statistics
- ·Study design & power analysis
- ·Bayesian & frequentist modeling
- ·Interim monitoring & adaptive designs
- ·Manuscript-ready results & interpretation
Statistical Consulting · Research Software · Education
Rigorous statistics and
deployable software
for research that matters.
I partner with clinical researchers, medical teams, and labs to blend statistical methodology with production-quality software. Decisions that hold up under scrutiny. Systems that scale.
- Projects delivered
- 140+
- Years in applied statistics
- 10+
- Focus areas
- Clinical · Software · Strategy
Who I work with
Medical research teamsClinical trial sponsorsAcademic labsHealth tech startupsPharma & biotechPublic health organizations
Services
What I actually deliver
Custom Research Software
- ·Data pipelines & automation
- ·Interactive dashboards & apps
- ·Statistical tooling & APIs
- ·Reproducible analysis frameworks
Advisory & Education
- ·Fractional statistical leadership
- ·Team training & workshops
- ·Grant support & methodology review
- ·Curriculum & course development
About
Hi, I'm Micah Thornton.
Statistician, software builder, and advisor. I move between R/Python notebooks, registrational study plans, and production codebases without handing anything off to chance. The job is to uncover the signal, package it so people can act on it, and leave teams with systems they can evolve.
I partner directly with founders, principal investigators, and R&D leaders. No bloated teams—just thoughtful work and fast loops.
Principles
- Evidence over theatrics
- Software is part of the analysis
- Reproducibility by default
- Clarity for stakeholders
Tooling
R · Python · Stan · Next.js · Supabase · Postgres · DuckDB · Airflow · AWS · Vercel
Portals
Choose your lane
Each portal routes to a dedicated property
🏥
Launching soonConsulting Portal
Engagements, proposals, secure data rooms, and project dashboards for active clients.
Enter portal⚙️
In developmentSoftware & R&D
Custom tools, model sandboxes, and private documentation for ongoing build-outs.
Enter portal🔬
Beta accessResearch Lab
Collaboration space for partner labs, grant workstreams, and reproducible pipelines.
Enter portal📚
PreviewEducation
Courses, workshops, and cohort support for students and research teams.
Enter portalSnapshots
Recent wins
Neuro device trial
Cut recruitment time by 6 months
Rebuilt the statistical analysis plan, automated interim checks, and gave sponsors realtime dashboards.
Health analytics platform
Launched HIPAA-ready tooling in 8 weeks
Designed the modeling approach, built the orchestration layer, and handed off runbooks to the product team.
Population study
Reduced reporting cycle from 30 days to 48 hours
Tuned the models, codified QA, and deployed a reproducible pipeline the team now owns.
How it works
Less ceremony. More leverage.
Frame
Audit what you have, surface constraints, and select the statistical or software approach that fits reality — not the textbook.
Build
Prototype quickly, lock down governance, and deliver analyses or tooling that stakeholders can trust and verify.
Operationalize
Hand off documentation, dashboards, and runbooks so your team extends the work without ongoing dependency.
FAQ
Do you take on fractional or retainer work?
Yes. Most partnerships blend fixed-scope builds with an ongoing cadence for questions, audits, or roadmap support.
Will you work with internal engineers or analysts?
Absolutely. The best outcomes happen when we share the same repo, dashboards, and delivery rhythm.
What tools do you typically use?
R, Python, Stan, Next.js/React, Postgres, DuckDB, Airflow, Supabase, and whatever your team already runs.
Get in touch
Ready to work together?
Send a brief with your hypotheses, timelines, and constraints. I'll come back with a concrete path—statistical design, a custom tool, or a hybrid.