His research interests cover a range of topics in Security and Privacy, Data Mining and HCI. His goals work towards gaining a deep understanding of user behavior and its roles in attacks and defenses to better secure Internet systems. Gang’s current projects focus on three areas: security and privacy in online communities, data-driven models of user behavior, and mobile application security. Gang obtained his PhD in Computer Science from UC Santa Barbara (2016). He earned a BE degree from Tsinghua University (2010). He spent two summers at Microsoft Research Redmond in 2011 and 2014. He was the recipient of Outstanding Dissertation Award (2016) and PhD Dissertation Fellowship (2015) from UCSB, and Best Practical Paper Award from ACM SIGMETRICS (2013). He held a U.S. patent for large-scale detection of malware distribution networks.