Artificial Intelligence and Mainframe Computing
Work focused on applying modern AI techniques to enterprise computing, MATURE systems, and IBM Z–related education and tooling.
Researcher • Educator • Systems and AI Enthusiast
Building bridges between mainframes, modern AI, and computing education.
Welcome to my personal website. I share research, academic and professional materials, software projects, and tools inspired by computing pioneers such as Grace Hopper.
About
A professional home for my teaching, research, and technical work.
I am passionate about computing education, mainframe systems, software development, and the practical use of artificial intelligence. This site serves as a central place for my research profile, project portfolio, downloadable documents, and technical links.
My design is intentionally clean, responsive, and accessible so it works well across desktop, tablet, and mobile devices.
Style switcher
You can switch among Academic, Corporate, Modern Tech, Vintage Mainframe, and Grace Hopper styles. Your preferred style persists for return visits.
Research
Selected areas of interest
Program Analysis and Software Engineering
Research and development spanning code understanding, compiler-oriented thinking, static analysis, and system-level programming education.
Applied Computing Education
Projects and collaborations designed to connect students with modern enterprise development, systems programming, and industry practice.
High Performance Computing and Artificial Intelligence
Improving MPI error detection and repair using large language models and bug references. JPDC
View Journal ArticleHomomorphic Encryption
Efficient privacy-preserving sparse matrix-vector multiplication using homomorphic encryption
View PublicationFeatured Project
graceZ
graceZ is my Grace Hopper–inspired LLM and chatbot trained and fine-tuned to assist with Enterprise COBOL, JCL, and z/OS. The name is a nod to Grace Hopper, “Grandma COBOL,” and to the modern IBM Z AI-infused platform.
This project reflects my interest in bringing together computing history, enterprise systems, and modern AI to support practical learning and technical problem solving in the mainframe space.
What graceZ supports
Assistance designed for learners, developers, and practitioners working with classic and modern enterprise technologies.
- Enterprise COBOL concepts, code support, and debugging
- CICS and DB2 Integration
- JCL structure, job setup, and troubleshooting
- z/OS workflows and mainframe development guidance
- A naming tribute to Grace Hopper and the IBM Z ecosystem
Key Links
Everything important in one place
Research
Explore publications, projects, and current interests in AI, mainframes, systems, and software engineering.
View research →graceZ
Launch graceZ, my Grace Hopper–inspired chatbot trained and fine-tuned to assist with COBOL, JCL, and z/OS.
Open graceZ →Curriculum Vitae
Download my academic CV with publications, teaching, presentations, and service.
Download CV →Résumé
Download my professional résumé highlighting teaching, technical, and industry-facing experience.
Download résumé →GitHub
Browse my code, experiments, research prototypes, and technical projects.
Visit GitHub →Contact
Connect with me directly by email or use this site as a starting point for collaboration and conversation.
Get in touch →Let’s connect
Use this site to connect visitors with my academic work, technical projects, and professional materials. This section includes my preferred email address and GitHub profile for direct outreach. I have also included my Google Scholar Profile