DPhil, BA Hon (Psych), BBus (Marketing)
Behavioural Data Scientist
Insights into Human Behaviour through Data
My research interests revolve around using evolutionary approaches and big data to the study of human behaviour and lie somewhere at the intersection of neuroscience, data science, social and evolutionary psychology and genetics. In particular, I am interested in understanding cross-cultural variation, gender differences, the establishment of mating pair-bonds, and the formation and maintenance of social relationships and their effects on health and wellbeing.
I am affiliated with the Social and Evolutionary Neuroscience Research Group (SENRG) in Oxford, headed by Professor Robin Dunbar. I have completed a Bachelor of Arts (Psychology) and a Bachelor of Business (Marketing) at Monash University Australia, a post-grad research degree in Psychology at the University of Melbourne, and completed my DPhil (PhD) in Experimental Psychology at the University of Oxford. I have previously worked as a graphic designer, and have travelled extensively, often working as a travel writer for Lonely Planet guidebooks.
My current work involves using Data Science to leverage the potential of Big Data, Machine Learning and AI to gain insights into human behaviour and other complex patterns.
Functional Benefits of (Modest) Alcohol Consumption
Dunbar RIM. et al, (2017), Adaptive Human Behavior and Physiology, 3, 118 - 133
When BOLD is thicker than water: processing social information about kin and friends at different levels of the social network.
Wlodarski R. and Dunbar RIM., (2016), Soc Cogn Affect Neurosci, 11, 1952 - 1960
The God Allusion : Individual Variation in Agency Detection, Mentalizing and Schizotypy and Their Association with Religious Beliefs and Behaviors.
Wlodarski R. and Pearce E., (2016), Hum Nat, 27, 160 - 172
Reply to Falcon.
Dunbar RIM. and Wlodarski R., (2016), Biol Lett, 12
The Relationship Between Cognitive and Affective Empathy and Human Mating Strategies
Wlodarski R., (2015), Evolutionary Psychological Science, 1, 232 - 240