Artificial Intelligence Researcher & Educator
I work with diffusion and variational auto-encoder transformer models to generate tabular and image synthetic medical data. I develop novel approaches for prediction modeling for health outcomes. I also research and study how the transformer based machine learning approach can lead to workflow automations in small and medium sized firms.
Experimental platform for testing and implementing practical AI applications. Features include recipe recommendation, fitness planning, and productivity tools.
Explore PlatformAdvanced medical imaging and data analysis platform utilizing synthetic data generation for improved healthcare outcomes. This is my research platform and my research engine to study the efficacy of synthetic medical data for predictive modeling.
Learn MoreUnited Statistics is my own consulting company. I work with small and medium sized firms to identify opportunites to employ machine learning and artificail intelligence to improve efficency and effectiveness of workflows, cut costs, and streamline workflows.
Visit PlatformAs an Associate Professor of Information Systems specializing in AI and healthcare analytics, I focus on developing practical solutions that make a meaningful difference in people's lives. My research combines advanced computer science concepts with data science methodologies to tackle complex problems in healthcare analytics, educational technology, and business process automation.
My approach emphasizes the practical application of cutting-edge technology while maintaining a strong commitment to ethical considerations and accessibility. Through platforms like Kerfuffle.ai, LifeSyn.AI, and United Statistics, I'm working to make advanced AI technologies more accessible and beneficial to society.