This Fall, I will be teaching an undergraduate Research Methods course in the Department of Psychology at the University of Houston, a top-tier research university committed to diversity, equality, and inclusion.
Previously, in graduate school, I had the privilege to serve as a graduate teaching assistant, co-instructor, or guest lecturer for courses that spanned across psychology and neuroscience: Social Psychology; Experimental Design, Methodology, and Data Analysis; Laboratory in Psychological Science; The Self; Systems Neuroscience; Experimental Study of Social Behavior; Emotion; and Adolescent Risk Behaviors. I also co-led teaching orientation workshops for new graduate students at the Dartmouth Center for the Advancement of Learning.
I believe one of the most pressing needs in higher education, especially in the basic and applied sciences, is to cultivate quantitative reasoning skills and a strong "data sense." College-aged students already inhabit a data saturated world, one in which "We are drowning in information but starved for knowledge." Thus, courses that focus on rigorous statistical modeling, as it applies to real world data sets and problem solving, will become indispensable. I look forward to developing course curricula to move toward this goal, especially in my home disciplines of psychology and neuroscience.