Resume
Academic Achievements
- 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.