Who am I?
I am a Ph.D. Candidate in the Decision, Risk and Financial Sciences program. My main research interests are human decision-making and its neural underpinnings. Under this umbrella I use a plethora of insights from different disciplines, including computational complexity, experimental economics and neuroscience.
My main topic of research uses theory from computer science (computation theory) to provide insights into meta-decision making and in particular to the cognitive resource allocation process in the brain. Specifically, I study how resource constraints affect human behaviour and how humans, and their brains, cope with these biological limitations.
Other of my research interests involve human interactions at the level of financial markets and bargaining interactions.
I am an avid promoter of digital literacy and interdisciplinary research.
Brain, Mind and Markets Lab
I work at the BMM Lab at the University of Melbourne doing work at the core of decision neuroscience. Yet, that is just the tip of the iceberg of everything that is going on at the lab. Are you interested in financial markets, financial bubbles, algorithmic trading?
Promoting Digital Literacy in Research
I work at the University of Melbourne as a Research Community Coordinator for R/RStudio. This entails managing the R community at the University of Melbourne, giving (free) introductory workshops to R and more!
Interested in a workshop or being part of the R community at Melbourne Uni?
Want to learn how to use Python and R together using RStudio? Click here for a short Reticulate package tutorial.
Experiments in Decision-Making
I have had the pleasure of coding behavioural experiments in a couple of programming languages:
- Java
- JavaScript
- Unity 3D (C#)
You can find the code and description of these experiments here!
UNDER CONSTRUCTION...
In the meantime: Go To a great webpage for coding your first experiment in JavaScript.
