Who I Am

I am currently a PhD student in the Human-Computer Interaction Institute at Carnegie Mellon University, working in the ArticuLab, where I am advised by Justine Cassell and Amy Ogan.

In my free time, I am an Assistant Director of the CMU Students for Urban Data Systems, as well as the project lead for a Metro21 project on fire risk analysis for the Pittsburgh Bureau of Fire.

Before coming to CMU, I completed a M.S. in Digital Media at Georgia Tech, advised by Ian Bogost. I graduated from the University of Maryland with a Masters of Education and a Bachelors in English Language and Literature, and I taught at a public high school in Maryland for several years.

What I Do

I work at the intersection of Human-Computer Interaction, Learning Science, and Machine Learning, where I study human collaboration in order to design AI systems that can collaborate effectively with humans.

In my main research, I focus on educational applications, using methods from machine learning and natural language processing to understand patterns of human learning and implement those insights into AI-driven virtual tutoring agents.

At a higher level, I am also interested in how machine learning and AI systems are integrated into various levels of civic life, from municipal decision-making to citizen hacking with open civic data.

Recent News

May 2017 Our CSCL paper was nominated for a Best Student Paper Award!
April 2017 Our paper on detecting interpersonal rapport using machine learning was accepted to the Educational Data Mining (EDM) 2017 conference.
Feb 2017 Our paper studying peer tutors' use of feedback was accepted to the Computer-Supported Collaborative Learning (CSCL) conference.
Jan 2017 I published an article in the Spark Creative Teaching and Learning Journal on student data privacy.


July 2017 EDM - Wuhan, China
June 2017 CSCL - Philadelphia, PA
Sept 2016 Design of eLearning - The New School, NY
Aug 2016 KDD - San Francisco, CA
June 2016 ITS - Zagreb, Croatia
June 2016 ICTD - Ann Arbor, MI