University of Cambridge
Department of Engineering
Cambridge, UK
CV
GitHub
Google Scholar
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am3303 [at] cam.ac.uk
ABOUT ME
I am a 24-year-old second-year PHD student at the University of Cambridge under the supervision of Prof. Phil Woodland. I am currently interning at Apple Machine Learning Research in Copenhagen. I completed my Bachelor's and Master's degree in computer science and AI with distinction in an innovation and research-devoted curriculum and earned a two-year entrepreneurship diploma in 2022. I am professionally also contributing to the development of SpeechBrain, an all-in-one, open-source, PyTorch-based speech processing toolkit with more than 10,000+ stars on GitHub. At SpeechBrain, I lead the core efforts of the toolkit. In 2019, I started as an autodidact on deep learning and helped frame the largest French AI community.
RESEARCH INTERESTS
My research focuses on speech-to-speech systems that natively understand and generate speech. The long-term vision is to develop fully speech-native agents capable of robust dialogue, reasoning, and paralinguistic expressivity—systems that could pass a 'Speech Turing Test' and approach the seamless, emotionally intelligent interaction depicted in 'Her.'
OPEN SOURCE
I serve as a core maintainer of SpeechBrain, an open-source toolkit for speech processing research, where I contribute to its core development. My responsibilities include reviewing pull requests, addressing technical issues, and facilitating discussions within the research community. Currently, I focus on integrating Speech Language Model capabilities and maintaining the training infrastructure, with particular emphasis on distributed training workflows.
I also maintain a CUDA implementation of Li-GRU and SLi-GRU, hardware-efficient recurrent architectures that achieve strong RNN performance on ASR while offering significant speed improvements. This implementation provides researchers with an optimized CUDA/C++ backend with PyTorch bindings and torch.autograd support, enabling seamless integration into PyTorch codebases.
PUBLICATIONS
- Measuring the Redundancy of Decoder Layers in SpeechLLMs Interspeech 2026 (accepted!). Preprint. [preprint]
- Cross‑Lingual Interleaving for Spoken Language Models. ICASSP 2026 (accepted!). Preprint. [preprint]
- Text-speech language models with improved cross-modal transfer by aligning abstraction levels. Preprint. [preprint]
- Discrete Audio Tokens: More Than a Survey! TMLR 2025 [preprint]
- Open-source conversational ai with speechbrain 1.0. JMLR 2024 [preprint]
- Stabilising and accelerating light gated recurrent units for automatic speech recognition. ICASSP 2023 [preprint]
For a more complete list: Google Scholar.