PhD in Machine Learning with expertise in model generalization
Developing methods (e.g., LLMs) to automatically evaluate and rank models without labeled data, while also adapting to evolving testing environments.
Assessing model resilience to distribution shifts, variations in visual factors, and jailbreak inputs.
Using neural rendering and large language models for realistic 3D modeling and generation.