Feng's research areas include social media, FinTech, and machine learning. He is particularly interested in information extraction from text (e.g., user-generated content, qualitative financial disclosure, and scientific articles). Feng received his PhD from the University of Cincinnati (OBAIS) in 2015, where he was advised by Dr. Michael Fry. He also have an MS in Statistics from Miami University. Feng is an affiliated faculty member of the Stevens Institute for Artificial Intelligence (SIAI).