Research Projects
Current Projects
Interpretable AI for Healthcare Decision Support
Funded by NIH (2023-2027)
Developing AI systems that can explain their reasoning in medical diagnosis contexts. Our goal is to create tools that augment physician decision-making while maintaining transparency and accountability.
Key Collaborators: Dr. Sarah Chen (Stanford Medicine), Dr. Michael Lee (UCSF)
Multilingual Language Understanding
Funded by NSF (2022-2025)
Building language models that can effectively understand and generate text across multiple languages, with a focus on low-resource languages that are often underrepresented in AI research.
Key Collaborators: Dr. Ana Rodriguez (MIT), Dr. Yuki Tanaka (University of Tokyo)
Human-AI Collaborative Writing
Funded by Google Research (2023-2024)
Investigating how AI writing assistants can best support human creativity without replacing human agency. This project explores the design space of collaborative writing tools.
Graduate Students: James Park, Emily Watson
Completed Projects
Ethical AI Framework Development
Completed 2023
Developed a comprehensive framework for evaluating and mitigating bias in machine learning systems. The framework has been adopted by several major tech companies.
| Project Website | GitHub Repository |
Conversational AI for Education
Completed 2022
Created intelligent tutoring systems that adapt to individual student needs. The system was deployed in partnership with local K-12 schools.