Hari Sundaram is a Professor in the Computer Science Department at the University of Illinois Urbana-Champaign. He develops algorithms and builds systems that empower individuals to make better decisions. The research in his group contributes to applied machine learning (e.g., recommender systems for better choices), network science (e.g., how platform rules can induce strategic behavior), human-computer interaction (e.g., systems to elicit truthful preferences; understanding if online markets discriminate), and mechanism design (e.g., the design of rules to incentivize pro-social behavior). The research from his group has won awards from the ACM and IEEE societies and the American Academy of Advertising. He is a distinguished member of the ACM, and a senior member of the IEEE.