My academic interests

My general academic interests span many areas in cognitive science and more specifically decision making. I study decision making in various contexts. An example may be a psychiatrist predicting whether their patient will become violent. I take a data-driven approach, in which I look at models of memory and retrieval, thus linking previous training and experience to different decisions. I analyse models of human category learning and optimise the training given to humans to achieve the best possible outcome (whether highest accuracy, or easiest training). I am currently researching human limitations in memory, through building exemplar-based models of category learning.

I am currently working on a variety of projects. They include:

  • Optimal teaching. In this project I am trying to find the ideal conditions for teaching category structures to humans and machines. Collaboration with Brad Love , Jerry Zhu , and Kaustubh Patil .
  • Medical decision making. This project focuses on the possible biases in categorisation decisions of medical staff. When doctors predict future outcomes, like whether a patient will develop a disease, or behave violently or not, they may stochastically sample their previous experiences. My work investigates how to capture the positive element of clinicians' experience, while getting rid of spurious biases leading to bad decisions.

Other interests

Outside of academia, I have various other interests. They include: