One paper accepted to NeurIPS (2023) ICBINB workshop in October 2023.
Research Experience
Second-year PhD student working with Prof. Timothy Hospedales and Dr. Henry Gouk, focusing on scaling down AI.
Education
PhD student in AI at the University of Edinburgh, supervised by Prof. Timothy Hospedales and Dr. Henry Gouk.
Background
Research interests include deep learning theory, optimization theory, and meta-learning. Dedicated to developing novel training algorithms and neural architectures that are more data, energy, and parameter efficient. Interested in hyperparameter-free training algorithms, biologically-plausible learning, backpropagation-free algorithms, and neuroevolution. Also applies research in diverse areas such as multi-modal learning, AutoML, on-device AI, federated learning, domain adaptation, and neurocomputing.
Miscellany
Romanticism, transcendentalism, postcolonial feminism, AI research, and coffee.