AI & Machine Learning
The everyday work of designing and training models that do a real job.
- Transformer architectures
- Generative pre-trained models
- Diffusion & auto-regressive models
- Variational auto-encoders
- Predictive modeling
“AI consultant” can mean almost anything these days, so here's the specific ground I cover. It comes from a PhD in Information Systems plus years of building and shipping this work, not from a weekend course.
Because I teach and publish in the field, what I bring to a project tends to be current. I'm not handing you a method I read about a year ago and never used.
If your problem isn't on this page, it's still worth asking. Half of consulting is recognizing a familiar problem wearing different clothes.
The everyday work of designing and training models that do a real job.
Healthcare data systems and predictive modeling.
Getting software to do the repetitive parts so people don't have to.
AI/ML methods for research projects and grant proposals.
Reading audience data so creators can grow on purpose.
Datasets that preserve privacy and statistical properties.
Handling sensitive data and analyzing breach cost.
Specialized models fine-tuned for your domain.
Build custom AI or use existing platforms, decided with data.
For the technically inclined, the stack I reach for, chosen per project.
Specialized models fine-tuned for your domain and objectives, beyond generic pre-trained options.
Deployed across healthcare, research, e-commerce, and content creation, consistently outperforming generic alternatives.
Realistic artificial datasets that maintain statistical properties while ensuring privacy and compliance.
Optimize your social presence, sharpen content strategy, and grow your audience with intent.
Creator clients have achieved meaningful, measurable follower growth while maintaining or increasing engagement.
Strengthen proposals with AI methodology, technical writing, and custom model development for NSF, NIH, and other agencies.
Academic clients have strengthened competitive proposals with custom AI methodologies that reviewers specifically highlighted.
Proceedings of the Southeast INFORMS, 2024
Best Paper in Track
Demonstrates how transformer architectures enable efficient indexing and retrieval of product information across diverse catalog systems.
Journal of Medical Informatics, 2023
A novel approach to generating synthetic healthcare data that maintains statistical validity while preserving patient privacy and HIPAA compliance.
Proceedings of the Southeast INFORMS, 2022
Explores the methodological foundations of the Gain Genie application via a design-science framework for fitness recommendation systems.
Proceedings of the Southeast INFORMS, 2022
Uses NLP to identify potential occupational health risks from social-media content in the beauty industry.
Journal of Evaluation in Clinical Practice
Examines how medical knowledge and guidelines can be effectively implemented across healthcare organizations, informing aspects of the Lifesynai project.
Generating realistic synthetic medical data that conforms to statistical parameters, enabling algorithm development while maintaining HIPAA compliance.
Current focus: pairing generated medical images with expert-level tabular chart data for more accurate diagnostic algorithms.
Analyzing and optimizing social-media content performance, focusing on multi-modal analysis and engagement prediction.
Exploring how transformer models relate visual elements, captions, and engagement to shape effective content strategy.
Using transformers to automate administrative tasks, particularly accreditation reporting and advising systems.
Researching how RAG and low-rank adaptation apply to higher-education workflows for efficiency and better student outcomes.
How transformer-based ML can automate routine tasks in small and medium enterprises.
Developing techniques to extract workflows from unstructured business processes and generate tailored automation for the New River Valley.
The University of North Carolina at Greensboro
Marshall University
Marshall University
University-level courses developed and taught include Data Science, AI Decision Support Systems, Healthcare Information Systems, and Programming with Python.
Tell me what you're up against. I'll give you a straight read on whether it's something I can help with.