- Publications: 'MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates' and other papers
- Awards: Second place IBM prize in MLP course awards at UoE
Research Experience
- ML Researcher @ University of Cambridge & Flower Labs;
- Community Lead: ml-theory @ Cohere Labs
Education
- October 2025 - Present: University of Cambridge (PhD) Computer Science, specializing in federated (pre)training of large language models, advised by Nic Lane
- October 2023 - August 2024: University of Cambridge (MPhil) Machine Learning and Machine Intelligence, specializing in speech and language processing. Thesis on Second-order Optimization and Imbalanced Class Distribution in Emotion Analysis, supervised by Brian (Guangzhi) Sun
- September 2019 - May 2023: University of Edinburgh (BSc Hons) Artificial Intelligence and Computer Science
Background
- Research Interests: Distributed, privacy-preserving, efficient, and collaborative machine learning
- Specialization: Federated learning, neural network compression, optimization theory
- Introduction: Cautious about the promise of centralized machine learning paradigms, believes in exploring alternative paradigms that can scale while promoting privacy inherently.
Miscellany
- Interests: Deep learning, NLP, open-source ML, efficiency, optimization