Researcher in Artificial Intelligence, Natural Language Processing, Reasoning, Scientific Inference, and Cancer Research
Focuses on developing AI methods that enable abstract, flexible, and controlled reasoning to support AI-augmented scientific discovery
Investigates the integration of neural and symbolic data representation paradigms to build better inference models
Has published over 100 peer-reviewed papers in top AI/NLP venues including AAAI, NeurIPS, ACL, EMNLP, EACL, COLING, TACL, and Computational Linguistics
Leads the Neuro-symbolic AI Lab, aiming to establish foundations for complex and controlled AI reasoning