- PhD in the Artificial Intelligence group
- This person is no longer active in the department.
Hi :-) I did my PhD in the Artificial Intelligence group and passed the viva with no corrections on May 25th 2021! I was supervised by Prof Pietro Liò, a member of the Caraml network, a student at King's College and a recipient of the Wiseman Award for 2018-19. Please visit my website for details on my research experience, interests, publications, courses & projects I have supervised and other things I have done.
Research
PhD thesis
Exploiting multimodality and structure in world representations, March 2021
Explored areas
- Graph representation learning
- Neural processes
- Visual reasoning
- Multimodal and cross-modal learning
More recent interests
- Uncertainty + deep learning
- Meta-learning
Teaching
Master's course seminars
February 2021: Graph generative and probabilistic methods (R250 Advanced Topics in Machine Learning and Natural Language Processing)
January 2020: Graph generation methods (R250 Advanced Topics in Machine Learning and Natural Language Processing)
Master's projects (2018-present)
2020-21: Structure-aware Generation of Molecules in Protein Pockets (Pavol Drotar, Queens' College), Machine Unlearning (Mukul Rathi, Queens' College)
2019-20: Goal-Conditioned Reinforcement Learning in the Presence of an Adversary (Carlos Purves, Jesus College) (NeurIPS-W DeepRL)
2018-19: Representation Learning for Spatio-Temporal Graphs (Felix Opolka, Christ's College), Dynamic Temporal Analysis for Graph Structured Data (Aaron Solomon, Girton College) (both ICLR-W RLGM)
Undergraduate projects (2017-2020)
2019-20: Benchmarking Graph Neural Networks using Wikipedia (Péter Mernyei, Churchill College) (ICML-W GRL+ contributed talk), Multimodal Relational Reasoning for Visual Question Answering (Benedict Aaron Tjandra, Trinity Hall)
2018-19: The PlayStation Reinforcement Learning Environment (Carlos Purves, Jesus College) (NeurIPS-W Deep RL)
2017-18: Deep Learning for Music Recommendation (Andrew Wells, Queens' College)
Undergraduate courses (2016-2020)
Part IA: Foundations of Computer Science, Databases, Discrete Mathematics, Machine Learning & Real-World Data
Part IB: Logic & Proof, Artificial Intelligence
Professional Activities
See Experience and Talks.
Publications
See the list here.
