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.
|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|