Featured product
my-dev-kit Ecosystem
Developer tooling
Repository intelligence, workflow orchestration, and validation tooling for coding-agent development.
A connected toolkit for building more disciplined AI-assisted software workflows.
Technical projects
Selected developer tools, scientific software, and applied AI projects from dailephd LLC.
Featured product family
In development and experimental
Smaller product directions shown with their current maturity, without implying release readiness.
Status: ExperimentalStandalone product
BioLit
Scientific software
Scientific literature exploration software for organizing and reasoning over biomedical papers.
An experimental scientific-software workspace shaped by research workflows.
Archived projects
Completed or older projects kept as examples of previous technical work.
ArchivedBioinformatics dashboard
TCGA BRCA Tumor-Normal Transcriptomics Dashboard
A reproducible R-based analysis pipeline and companion web dashboard for exploring tumor-normal transcriptomic differences in the TCGA Breast Cancer cohort.
The project separates validated statistical analysis from downstream visualization so collaborators can explore precomputed results without installing R or inspecting notebooks.
The dashboard is a read-only consumer of analysis artifacts. It does not perform live computation, statistical re-analysis, or modification of source artifact files.
Role: Creator and developer
ArchivedAI tutoring system
SmartTutor
An intelligent tutoring system built with Django that uses OpenAI's ChatGPT to generate summaries, essay questions, practice exercises, and flashcards from uploaded learning materials.
The system provides AI-assisted feedback on grammar, logic, comprehension, and learning progress. It also supports cognitive performance tracking and goal-based study planning.
Role: Creator and developer
ArchivedProteomics analysis workflow
Automated Differential Expression Analysis of Human Brain Proteome
A fully automatic workflow for differential expression analysis of human brain proteomics data from Alzheimer's and Parkinson's patients.
The workflow integrates frequentist statistical testing and Bayesian analysis for statistical verification, with downstream enrichment-analysis support.
Role: Creator and developer
ArchivedGraph neural network modeling
GNN Water Depth Prediction for SWMM
A graph neural network project for predicting water depth levels in a synthetic storm water or sewage system using time-series data from multiple sensor nodes.
The model predicts water depth at an output node and explores flow dynamics, load capacity, hydraulic behavior, flood-risk modeling, and infrastructure optimization.
This is a technical modeling project, not a scientific research project.
Role: Creator and developer