My primary research focuses on how people browse the internet, how users engage with risky or malicious online content, and ways in which we can better protect users as they browse. The premise is that the better we can understand what normal browsing behavior looks like, the better we can identify anamolous behavior that can get users into trouble. The main application of this work is to predict when users are about to land on a malicious website based on their browsing behavior. In addition, I have worked on several smaller projects pertaining to online interview methods and incentives to adopt two-factor authentication.