Summary
Hao Peng is an assistant professor and computational social scientist with nine years of experience designing and applying computational methods to large-scale data to study science, innovation, business, and societal dynamics. Trained with a PhD in Computer and Information Sciences from the University of Michigan and a master's in Data Science from Indiana University, he blends rigorous computational techniques with social-science questions to surface actionable insights about human capital, creativity, and development. His path includes postdoctoral work at Northwestern’s Kellogg School and research roles across leading US universities, reflecting strength in interdisciplinary collaboration and applied research. Based in Hong Kong, he focuses on translating complex data into strategies that help organizations nurture talent and amplify creative potential—often uncovering subtle patterns in collaboration and knowledge flows that are easy to miss.
9 years of coding experience
5 years of employment as a software developer
PhD, Computer and Information Sciences, General, PhD, Computer and Information Sciences, General at University of Michigan
Master's degree, Data Science, Master's degree, Data Science at Indiana University Bloomington
Bachelor's degree, Management Information Systems, General, Bachelor's degree, Management Information Systems, General at Sun Yat-Sen University
English, Chinese