Dan Mailman
I am a computer scientist and principal software engineer building AI-assisted workflow systems, language-input technology, and interactive tools. I am completing a Computer Science PhD at the University of Tennessee at Chattanooga, expected December 2026, after a long career founding and leading production software companies.
My dissertation develops gesture-efficient multilingual input methods. The public technology thread is muLex, with working English and Mandarin demos that keep the core language logic on the server.
My broader work sits at the practical edge of software engineering, applied AI, computational linguistics, and human-computer interaction: systems that help people inspect, steer, and use complex information rather than simply generate more of it.
Explore the Work
Scholarship and Dissertation
The current dissertation draft, gesture-efficient input research, publications, and supporting analyses.
Software and Inventions
muLex language-input systems, public demos, patents, and selected engineering projects.
Music and Creative Tools
Browser-based instruments and gesture tools, with course materials for creative software development.
Professional Scope
Principal-level software engineering, applied AI, research collaboration, and serious language-technology work.
Engineering and Research Profile
Industry Engineering
- Principal-level software engineering across production systems, dashboards, APIs, automation, and user-facing tools.
- AI-assisted workflow systems for documents, spreadsheets, research materials, and decision support, with emphasis on inspectable human-reviewed output.
- Python, R, JavaScript, Quarto, Node, data pipelines, and pragmatic integration work across messy real-world environments.
Academic Research
- Computer Science PhD candidate at UTC, with dissertation work on gesture-efficient multilingual input methods.
- Research interests include computational linguistics, input systems, human-computer interaction, software tools for analysis, and applied AI.
- Public research and supporting materials are available in the dissertation portfolio, published work, and data analyses.
Language Technology Direction
muLex is the public technology thread behind my language-input work. Studio MindStride and LanguageGenies are the intended public/commercial homes for that story when those sites are ready.
A longer-term project is Neuro-Plausible Machine Translation: translation technology shaped around human language cognition, lexical choice, context, and inspectable intermediate representations rather than only opaque end-to-end output.
For research, teaching, engineering, or serious language-technology inquiries, please email me.
