Haohan Wang (汪浩瀚)

Ph.D Candidate

Language Technologies Institute,
School of Computer Science,
Carnegie Mellon University

Advised by: Prof. Eric P. Xing
Research Interest:

I believe the future of AI-aided understanding of human genetics involves three areas:
  • Machine learning helps to build sophisticated models to incorporate the knowledge and assumption we have
  • Genetics guides us about what questions to ask and answer
  • Statistics guarantees the reliability of using machine learning to answer genetic questions
My research goal is to push the boundaries of these areas simultaneously, therefore, enlarging the intersection.