About me. I am a research associate in Computer Laboratory, and a junior research fellow (JRF) in Wolfson College. I have recently joined the computational group of Integrative Cancer Medicine Project. This project looks at integrating genomic, imaging and clinical data to provide more personalised diagnostic and treatment plans for cancer patients. We use a variety of machine learning methods for the predictive purposes. My interest lies in using symbolic methods and biomedical ontologies to extract generative logic models from the predictive ones, where the former are used for explaining the predictions of the latter.
Previously, I worked with Dr Mateja Jamnik on Accessible Reasoning with Diagrams project, where we designed, implemented and empirically evaluated a diagrammatic reasoner for the explanation of ontology reasoning and debugging, in collaboration with cognitive scientist in University of Brighton. Prior to this, I did my PhD in Artificial Intelligence in Intelligent Systems Group of Department of Computer Science, University of Bath. My research during my PhD focused on explanatory decision-making in multi-agent systems using Argumentation Theory.
Research. My main area of expertise is symbolic AI; Research interests include Explainable AI, Automated Reasoning, Reinforcement Learning and Multi-agent Decision-making.
10.2019 – Paper accepted at KR2ML@NeurIPS
10.2019 – Invited talk at Imperial Explainable AI Seminars
09.2019 – Article accepted at ACM Transactions on Autonomous and Adaptive Systems
Email: zohreh.shams [AT] cl.cam.ac.uk
Address: Computer Laboratory
University of Cambridge
Cambridge, UK, CB3 0FD