I currently spend around 50% of my time working on program induction and probabilistic programming. Specifically, I build algorithms for generating and adapting symbolic hypotheses (try our inductive rule learning problem here to get an intuition). I spend the rest of my time combining online multiplayer experiments with agent-based modelling to study how people form, share, and update beliefs in simulated social networks. Here, I am also interested in discovering how people might infer the structure of their social environment from observation of peers’ communications.
I am funded by the Germany Academic Scholarship Foundation. I am jointly supervised by Neil Bramley and Adam Moore.
PhD Psychology, 2023 (ongoing)
PPLS, University of Edinburgh
MSc Cognitive and Decision Sciences, 2019
University College London
BSc Psychology and Neuroscience, 2018
University of Maastricht