Research
Questions that connect systems, intelligence, and learning.
This section collects research interests, technical questions, paper notes, and long-form investigations connected to my projects, Monograph, and future academic work.
Research Interests
Current areas of curiosity and future investigation.
Artificial Intelligence
Applied AI systems, semantic retrieval, recommendation engines, and AI assistants grounded in structured knowledge.
Data Science
Practical data workflows, statistical reasoning, analytics systems, and turning noisy information into usable insight.
Knowledge Systems
Personal knowledge architecture, structured memory, retrieval pipelines, and long-term learning systems.
Learning Science
How people learn, retain, forget, and apply knowledge when motivation, necessity, and environment change.
Neuroscience
Long-term interest in cognition, motivation, perception, attention, and the relationship between mind and behavior.
Human-Centered Systems
Tools that combine engineering, design, memory, and practical workflows to support real human progress.
Research Direction
My current research direction is practical and system-oriented: build working systems first, observe where the hard questions appear, then turn those questions into deeper investigations.
This connects naturally to projects like Simcine, Paper Insight, the portfolio AI assistant, and Monograph. Each project creates a real environment for studying retrieval, recommendation, learning, memory, and human-centered AI workflows.
Over time, this page will become a structured map of papers, experiments, notes, and research questions.