Four grad students and I are working closely with product managers, data scientists, and researchers at Houghtin Mifflin Harcourt to improve System 44, a reading intervention program for struggling readers.
With teammates Pankaj Ajit, Teja Talluri, and Napol Rachatasumrit, I developed an intelligent tutor to help teach intro-level students how to make a prediction using Naïve Bayes.
Under the guidance of Erik Harpstead, I am developing a board game designed to teach strategies for solving problems in electrical circuits to students in intro-level physics classes.
Along with Julia Ridley and Pankaj Ajit, I developed an e-learning module to help workers on Amazon Mechanical Turk learn strategies to work more efficiently.
With help from Sharon Carver, I developed a two week intervention for a 6th grade statistics class.
I compiled this document to aid the process of designing educational interventions. Each Big Idea is a synthesis of essential concepts from the course “Educational Goals, Instruction, and Assessment” (EGIA), taught by Sharon Carver at Carnegie Mellon University.
The Alice Language Localizer is designed to locate brain regions that are selective to processing language. It accomplishes this by playing intact and degraded speech samples through headphones while an fMRI scanner measures the BOLD response to each condition.
During my time as a research assistant at MIT, I built the website for the Fedorenko Language Lab and maintained it with Drupal Cloud.
These online surveys are designed to measure pragmatic competence on several dimensions. We created two versions of each task to ensure that the measurements are stable across modalities.
I co-authored this paper with Matt Siegelman, Idan Blank, and Ev Fedorenko. I was involved in collecting and analyzing data, writing up the methods, and generating figures.