Postdoctoral Researcher

Northwestern Univ School of Education and Social Policy

Jul 2017 – Oct 2019 Evanston, IL
My responsibilities included:

  • Integrating analysis across big data sets (survey, language, fMRI) to uncover longitudinal changes
  • Text mining and analysis of interview corpora
  • Quasi-experimental techniques like SEM and complex modeling
  • Qualitative: Inventing ways to probe how students “think scientifically”; interpreting spatial reasoning processes from gestures

Full Time Instructor

Loyola Univ Chicago Department of Psychology

Aug 2014 – Jun 2017 Chicago
My responsibilities included:

  • Designing and teaching undergraduate courses in Research Methods, Statistics, Developmental Psychology and Cognitive Psychology
  • Doing actual psych research with dozens of lab students, virtually through mTurk and live in kindergarten classrooms
  • Teaching undergraduates how to use R for exploring, plotting, and modelling data

Director of Education Research

Spatial Intelligence and Learning Center

Sep 2010 – Jul 2014 Chicago
My responsibilities included:

  • Writing and pitching grant proposals to private and public funders, resulting in millions of dollars of research support
  • Strategically implementing research plans guided by science–making the abstract really happen
  • Managing a team of 5-10 full time staff: hiring, training, and budgeting for my team
  • Ensuring accountability to funders and other stakeholders

Consultant and Case Study Author

Urban Education Institute + Ounce of Prevention Fund

Sep 2009 – Sep 2010 Chicago
My responsibilties included:

  • Writing a teaching case study about an emerging partnership between the Ounce of Prevention and the Urban Education Institute
  • Interviewing everyone involved, from the direct service level through the executive level, to craft an honest and interesting narrative

Math Curriculum Consultant

Center for Math and Science Education

Sep 2009 – Sep 2010 Chicago
My responsibilities included:

  • Conducting a lecture series about bridging the gap between research and practice by fostering reciprocal relationships respecting everyone’s expertise
  • Collaborating with textbook writers and mathematicians to author a white paper about PreK to 6th grade geometry curricula
  • Leading a series of Work Circles where Pre-K and Kindergarten teachers worked together with researchers to create potential math lessons and identify further areas for research

Visiting Research Specialist

Univ of Illinois-Chicago Learning Sciences Research Institute

Sep 2008 – Sep 2009 Chicago
My responsibilities included:

  • Studying learning sciences approaches to studying gesture in groups of learners engaged in science inquiry
  • Developing qualitative methods for analyzing spatially distributed embodied data
  • Working with computer scientists to create embodied approaches to studying nanoscience



PhD in Psychology

University of Chicago

Sep 2003 – Sep 2009 Chicago

BA in Psychology + East Asian Languages and Cultures

Indiana University

Sep 1999 – May 2003 Bloomington, IN




Assessment + Survey


Public Speaking

Writing and Editing


Cognitive Psychology

Embodied Cognition

Gestural Communication

Child Development

Spatial Reasoning

STEM Learning


Exploratory Data Analysis in R: Case Study

Data Scientist with R Career Track: 4 hour course

Once you’ve started learning tools for data manipulation and visualization like dplyr and ggplot2, this course gives you a chance to use them in action on a real dataset. You’ll explore the historical voting of the United Nations General Assembly, including analyzing differences in voting between countries, across time, and among international issues. In the process you’ll gain more practice with the dplyr and ggplot2 packages, learn about the broom package for tidying model output, and experience the kind of start-to-finish exploratory analysis common in data science.

See certificate

Exploratory Data Analysis

Data Scientist with R Career Track: 4 hour course

When your dataset is represented as a table or a database, it’s difficult to observe much about it beyond its size and the types of variables it contains. In this course, you’ll learn how to use graphical and numerical techniques to begin uncovering the structure of your data. Which variables suggest interesting relationships? Which observations are unusual? By the end of the course, you’ll be able to answer these questions and more, while generating graphics that are both insightful and beautiful.

See certificate