I earned my M.S. in psychology from Syracuse University, and I am currently finishing my PhD in cognitive psychology. I investigate how learning and memory influences decision making. For example, when we go to buy a car, how do our past experiences with cars influence that decision? Do different types of experience (a review vs. a test drive) impact that decision differently, and if so, how? Using theories from cognitive and mathematical psychology, as well as ones from behavioral economics, I develop experiments to answer these questions. In these experiments, I give special consideration to how participants will naturally engage with the task. In other words, how does my decision task map directly to the decisions that people do every day? With that in mind, it’s paramount that I have an engaging experiment that rely on easy digestible materials as well as hands-on instructions and engagement between researcher and participant. I use either Python or HTML/JavaScript to create these experiments, and I am familiar with small and large sessions of participants as well as online data collection. I employ a wide variety of NHST and Bayesian analyses on the experimental results. These range from model selection to hierarchical analyses in R.