Lingjia Tang
Assistant Professor · Artificial Intelligence
University of Michigan-Ann ArborUnited States
About
Lingjia Tang is an Assistant Professor in Computer Science with expertise in artificial intelligence, machine learning, big data, and no-code automation. Her research focuses on developing machine learning algorithms for medical data analysis and advancing no-code automation tools to democratize technology access.
Research Interests
- Artificial Intelligence & Machine Learning
- Big Data Analytics & Graph-Based Retrieval
- No-Code Automation & User-Centric Systems
- Data Quality & Ethical AI Considerations
Scientific Contributions
With over 20 publications in prestigious journals, Dr. Tang's recent work explores:
- Graph-based retrieval frameworks (GraphRunner, TOBUGraph)
- LLM calibration and evaluation (SLMEval)
- Memory subsystem optimization in datacenters
- Meaning-typed programming paradigms
- Multi-agent conversational AI systems
Awards
- 2023 Award for contribution to machine learning technologies
Teaching
Dr. Tang teaches courses in artificial intelligence, algorithms, and computational theory with a dynamic interactive approach.
Current Projects
- Machine learning algorithms for medical diagnosis
- No-code automation tools for non-technical users
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