My research involves the design and evaluation of data-driven privacy and security tools with the goal of empowering users to make more informed decisions. I'm particularly interested in understanding how data-driven systems and user interfaces can help users navigate security and privacy in the age of ubiquitous computing.

My work mostly lies at the intersection of human–computer interaction, ubiquitous computing, and machine learning, but I have also worked on authentication, accessibility, and local community systems. My advisor is Prof. Yang Wang.

I enjoy breaking building things. Among the many things I've built in the past is a password manager, a parking app, a travel app, and educational virtual reality and online reading apps. I've also organized a hackathon and competed at several web design/development contests.

When my masters allow it, I'm out for a run or hike in beautiful Upstate New York. I like to travel to new places and spend time with my lovely wife. I also enjoy movies, sci-fi books, geometric abstraction, and games (tabletop, PC, and retro).