Jennifer Hill

Ed-tech software designer

Jennifer Hill

I'm Jennifer Hill: a newly-minted Computer Science Ph.D. with a passion for creating usable, useful, innovative software.

I founded the Learning Technologies Research group at The George Washington University, and I'm the head of two of its projects: CAPITAL and REMind.

I'm particularly interested in educational technology and finding ways to improve the way teachers create and students learn, but my true passion is for the development process in general: nothing thrills me more than seeing an idea come to fruition in a product that has a real, positive impact for real users. I'm always looking for ways to innovate to solve real-world problems, whether that be making interfaces more intuitive, brainstorming high-level algorithmic solutions, or conducting research and working with users to learn their wants and needs.

I've spent the last 5 years designing, developing, and managing two software research projects completely independently, and I thrive in an environment where I can wear many hats. My strength is not as a software engineer, but as someone who can understand the tech side of a project as well as how to communicate with the customer, and as someone who can find innovative ways to deliver a product that meets their needs. I have a lot of ideas and I'm ready to put them to work!


The George Washington University 2012 - 2017
Ph.D., Computer Science
Focus: User experience design, adult literacy, automatic question generation, educational technology, human-computer interaction
Thesis: Algorithmic Generation and Mobile Distribution of Phonetic, Orthographic, and Inference-Based Literacy Exercises for Adult Learners (Defended December 2017)
Hood College 2008 - 2012
B.S., Computer Science

Work Experience

  • Graduate Student Researcher May 2013 - January 2018
    The George Washington University
    School of Engineering and Applied Science
    • Founded the Learning Technologies Research group and served as its lead researcher
    • Served as lead designer, researcher, developer, and manager of the CAPITAL and REMind projects
    • Managed 1-5 undergraduate students per semester
    • Wrote and published two academic papers as primary author; presented at three conferences
  • Data Management Center Intern September 2017 - January 2018
    The George Washington University
    Business Intelligence Office
    • Made significant user interface modifications to the Data Management Center's internal tool to improve usability and performance
    • Helped build missing features of internal tool by leveraging Collibra APIs to help move product closer to production
  • Undergraduate Researcher May 2011 - August 2011
    National Institute of Standards and Technology
    Information Technology Lab
    Created a graphical tool for human judges to evaluate the quality of machine translations from the OpenMT Evaluation series


Creator / developer / designer
Co-creator / co-designer / consultant


2017 - Dissertation defense
2016 - NAACL BEA conference
2016 - ProLiteracy conference
2016 - CS 101 NLP talk

Awards and Accomplishments

  • Second place: 2016 SEAS Research & Development Showcase, theoretical research category: [View poster]
  • Scholarship: GWU Provost's Graduate Research Fellowship, 2012-2017
  • Publications


  • J. Hill, “Algorithmic Generation and Mobile Distribution of Phonetic, Orthographic, and Inference-Based Literacy Exercises for Adult Learners,” The George Washington University, 2018. (Unpublished doctoral thesis).
  • 2016

  • J. Hill and R. Simha, “Designing a Literacy-Based Mobile Application for Adult Learners,” in Proceedings of the 34th Annual ACM Conference on Human Factors in Computing Systems, 2016, pp. 3076–3083.
  • J. Hill and R. Simha, “Automatic Generation of Context-Based Fill-in-the-Blank Exercises Using Co-occurrence Likelihoods and Google n-grams,” in Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 2016, pp. 23–30.
  • 2015

  • J. Hill, W. Randolph Ford, and I. G. Farreras, “Real conversations with artificial intelligence: A comparison between human–human online conversations and human–chatbot conversations,” Computers in Human Behavior, vol. 49, pp. 245–250, 2015.