My research lies at the intersection of model-based AI and Digital Twins theory, aiming to improve the safety and trustworthiness of socio-technical systems. I currently design learning and reasoning architectures for trading mechanisms operating in financial markets. I am interested in social biases and how can these generate undesired unexpected outcomes. Research interests include Machine Learning, Digital Twins and Agent-Based Modelling.
I chose to join the STAI CDT because of the training opportunities in model-based AI that effectively build up around my previous experience with AI research. King’s and Imperial provide a psychologically safe environment that helps the community in pushing scientific research boundaries.
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Masters Qualification: MSci Computer Science (Artificial Intelligence), King’s College London
Work Experience:
- Teaching Assistant at King’s College London
- Software Development Engineering Intern at Amazon
- Undergraduate Research Assistant at King’s College London
