Assistant Professor, Computer Science
- Ph.D., Computer Science: Cognitive Science, Tufts University. Dissertation: Situated Natural Language Interaction in Uncertain and Open Worlds Committee: Matthias Scheutz (Chair), Jan P. de Ruiter, Anselm Blumer, Candace Sidner
- M.S., Computer Science, Tufts University.
- B.A., Computer Science, Hamilton College.
“My research broadly focuses on artificial intelligence for human-robot interaction, especially problems involving natural language understanding and generation in uncertain and unknown environments. My work is strongly informed by work in cognitive science, especially theories from linguistics and cognitive psychology.”
- “Thank You for Sharing that Interesting Fact!”: Effects of Capability and Context on Indirect Speech Act Use in Task-Based Human-Robot Dialogue
- Resolution of Referential Ambiguity in Human-Robot Dialogue Using Dempster-Shafer Theoretic Pragmatics
Honors and Awards
- New and Future AI Educator Award, EAAI, 2017.
- New and Future AI Educator Award, Invited second year participant, EAAI, 2018.
- Teaching Fellowship, Tufts Graduate Institute for Teaching, 2015.
- Doctoral Consortia, YRRSDS 2014, HRI 2015, AAAI 2016.