Andrew Scutt

Andrew Scutt

Psychology Research Specialist • Economics Specialist (Focus in Data Analytics) • Mathematics Minor

School University of Toronto
Interests Decision-making • Learning • Computational Modelling
Portrait photo of Andrew Scutt

About

Hello there :)

I am very interested in the computational modelling of human learning, decision-making, reasoning, and problem solving. I am also interested in representing human learning as Bayesian decision-theoretic problems in a multi-dimensional space with cognitive resource and information constraints. I am particularly drawn to Bayesian modeling as it constrains agents’ behaviour by including priors that capture specific inductive biases.

Ultimately, my interests stem from wanting to create computational models that can be used as human test subjects in psychology experiments, accelerating the research pipeline. I also want to “rationalize” human behaviour by using said cognitive and information constraints. In addition, I hope to support other psychologists’ research by introducing them to the research methodology I have learned.

Highlights

Tools

  • Python, R, STATA, Bash
  • Data wrangling & visualization (pandas, geopandas, matplotlib)
  • Deep learning
  • Bayesian modelling

Projects

  • Self-defense legislation preferences & self-construal
  • Moral judgments of Schadenfreude
  • Housing market willingness to accept: endowment effect vs status quo bias