His research takes a user-centric perspective of personal data, focusing on how that data is collected, interpreted, and used in applications. His work crosses the domains of machine learning, privacy, user-centered design, real-world data collection, and user study design. Dr. Wiese's research excellence has been recognized by awards including: recognition as a Yahoo Fellow in 2014, the Stu Card Fellowship in 2012, a Carnegie Mellon Usable Privacy and Security IGERT trainee, and the Yahoo! Key Scientific Challenges Award in 2011. He publishes work in top Computer Science and HCI venues including CHI, CSCW, and UbiComp. He received his Ph.D. in Human-Computer Interaction from Carnegie Mellon University in 2015.