Chiang is interested in developing data-driven methods that can take advantage of domain knowledge to solve complex problems. For example, he has built machine learning algorithms that incorporate spatial science techniques for air quality prediction and imagery recognition. He also enjoys building working systems with students and doing consulting work related to his research.
