My research involves the design and evaluation of data-driven privacy, security and ethical 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 their personal data 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.
breaking building things. In the past, I've built applications in several domains, including mobile apps and virtual reality systems. I've also organized a hackathon and competed at several web design/development contests. Recently, I joined Figure Eight as a Machine Learning Intern (Summer 2018) to advance the synergy of machine learning and large-scale human intelligence.
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).