Research Interests

• Quantum information theory
• LLMs
• Machine learning for technology monitoring
• Patent analytics and concept knowledge graphs linking patents and publications
• Entity resolution (assignee and author disambiguation) and data-quality validation

Engineering Interests

• Turning ambiguous technical questions into structured data, models, experiments, and practical strategies
• Building machine-learning and LLM prototypes that connect rigorous methods with concrete user or client impact
• Communicating technical trade-offs clearly across research, engineering, and non-technical stakeholders
• Making analytical pipelines traceable: every finding tied back to the documents and decisions that support it
• Working in collaborative teams with curiosity, rigor, and a preference for building