I am a machine learning Research Scientist at Samsung AI Centre in Cambridge, UK. My research is currently focused on generalisation and transferability of machine learning models on resource-constrained environments such as mobile devices. I explore different machine learning paradigms including meta-learning, few-shot learning, and more recently federated learning. In the past, I have worked on acoustic signal processing and resource allocation in wireless mobile communications. Prior to Samsung AI, I obtained my PhD from the School of Informatics, University of Edinburgh in 2019. I was advised by Dr Paul Patras, and I remain a good friend of the Mobile Intelligence Lab.

News

Oct. 2021: Our paper titled A Channel Coding Benchmark for Meta-Learning is accepted at NeurIPS’21 Benchmarks Track.
Sep. 2021: Work with Yu-Lin Wei and Prof Romit Roy Choudhury of UIUC on Infering Human’s Facing Direction from Voice Signals is online.
Feb. 2021: Presented our recent work on A Channel Coding Benchmark for Meta-Learning at AAAI Workshop on Meta-Learning. Check out the paper, slides and poster.
Dec. 2020: Co-organised the 1st DistributedML workshop co-located with ACM CoNEXT.
May 2020: Co-authored a short position paper on on-device ASR.
Jan. 2020: Serving on the PC for GPC2020.
Jul. 2019: Participated IMC shadow PC in-person meeting at Queen Mary London.
May 2019: PhD done 🎓 Joining Samsung AI 👩🏻‍💻.
Nov. 2018: Very honoured to win the Best Student Paper at MLN’18 in Paris!
Jul. 2018: Incredibly honoured to receive the Brendan Murphy Memorial Prize at the 30th Next Generation Networking, Multi-Service Networks workshop (Coseners).