AI & Machine Learning
Building and applying machine-learning models, the day-to-day of the practice.
About
United Statistics
CB
Dr. Caleb Bradberry · Founder
10+Years
Founder
Dr. Caleb Bradberry, PhD
AI & machine learning consultant, app developer, professor, and recovering systems administrator.
United Statistics is my consulting and development practice. It's based in the New River Valley, though I take work as far north as Hinton, West Virginia, where I grew up. These days much of the work is remote, so I'm glad to help whether you're down the road or across the country.
I have a PhD in Information Systems, and I've spent about a decade teaching it and building machine-learning systems, and the applications that put them to work, across healthcare, higher education, and business. Before that, I ran servers and wrote code for a living, so I know what it's like on the other side of a consultant's invoice.
The job, as I see it, is to make this stuff understandable. Most businesses don't need a sweeping “AI transformation”; they need one specific thing to work. I help you figure out what that thing is, whether AI is actually the right way to do it, and then I build it: the model, the app, or both.
And if it isn't the right fit, I'll say so. There's a lot of snake oil in this field. I'd rather lose the project than sell you something that won't pay off.
Academic credentials
- Ph.D., Information Systems, The University of North Carolina at Greensboro (2016)
- M.B.A., Management, Marshall University (2010)
- B.B.A., Information Systems, Marshall University (2007)
Areas of expertise
What I actually know
Healthcare Informatics
Healthcare data systems, predictive modeling in cardiology and oncology, and synthetic medical data generation.
Workflow Automation
Taking the repetitive, error-prone tasks off people's plates at small and mid-size businesses.
Data Security & Privacy
Identifying sensitive data, implementing best practices for handling it, and analyzing the cost of data breaches.
Technical Implementation
Python, R, SQL, and modern data-science tooling to build practical, production-ready solutions.
Educational Applications
Deploying AI models and chatbots in academic settings for advising and accreditation-reporting automation.
Creator Consulting
Helping Instagram creators read their audience data and grow on purpose, not by luck.
Synthetic Data Generation
Custom synthetic datasets that preserve privacy and statistical properties for testing, training, and research.
Make-vs-Buy Consulting
Whether to build custom AI in-house or use existing platforms, with cost-benefit analysis and a roadmap.
Professional experience
How I got here
From running servers, to the research lab, to the lecture hall.
2016 – Present
Information Systems Professor
Developing and teaching advanced courses in data science, AI, healthcare information systems, and systems analysis; researching machine learning for healthcare and business.
2024 – Present
AI Consultant, United Statistics LLC
Started my own practice to do AI and machine-learning consulting for businesses, researchers, and creators around the New River Valley.
2009 – 2012
Senior Systems Administrator
Managed technology implementations, systems security, and user access across the organization, partnering with developers to deliver new capabilities.
2008 – 2009
ASP.NET Developer
Built web applications for a county school system, including food-inventory and bus-logistics systems, as primary developer and Microsoft Certified Professional.
Personal projects
Things I build when no one's paying me
Kerfuffle.ai
A side project where I try ML on small, everyday annoyances, like a recipe finder that skips the life story, and a fitness app called Gain Genie.
It's mostly a sandbox for the idea that AI should help a person do something, not replace them.
Lifesynai.com
A research project on generating synthetic medical data, pairing realistic medical images with the kind of chart data a clinician would write.
The aim is to give researchers usable medical data to train on without ever touching a real patient's records.
Selected publications
A few things I've published
2024
The Machine Learning Transformer as a Universal Product Catalog Indexer
Proceedings of the Southeast INFORMS, 2024
Best Paper in Track
2022
A Design Science Approach to Machine Learning Applications of Physical Fitness
Proceedings of the Southeast INFORMS, 2022
2022
Data Mining Cosmetologists' Social Media Posts to Discover Latent Occupational Health Risk Factors
Proceedings of the Southeast INFORMS, 2022
2021
Implementation of Clinical Practice Guidelines for Low Back Pain: A Case-Control Cohort Study of Knowledge Translation in a Multi-Site Healthcare Organization
Journal of Evaluation in Clinical Practice
Let's talk
Want to talk it through?
Tell me what you're working on. The first conversation is free, and I'll give you an honest read on whether AI is worth it.