Baichuan Gong
I am a researcher interested in understanding how intelligent systems learn, reason, and interact with the world. My work sits at the intersection of machine learning, computation, and human-centered applications.
Research
My research focuses on robust and interpretable methods for machine learning, with an emphasis on scalable models and real-world decision making.
- Representation learning and transfer across heterogeneous data sources.
- Reliable inference under uncertainty and distribution shift.
- Applications of AI in scientific and societal problems.
- Interpretable models that support transparent human-AI collaboration.