Experience

HFC GenAI Fellow (PhD Internship)

Scale AI, San Francisco, US (remote)

  • Post-training of LLMs for specific-domain knowledge
  • Propose expertise evaluation on generalized pre-trained LLMs
  • Contribute to research publications

Research Scientist (PhD Internship)

Nokia Bell Labs, Cambridge, UK

  • Investigate acoustic signal processing techniques for acoustic sensing
  • Explore machine learning architecture for acoustic-based cognitive workload recognition for mental healthcare regulation
  • Develop App and conduct user studies to validate system usability and efficiency
  • Authored and contributed to scientific papers
  • Filed patent for innovative solutions

Research Assistant

UCL Interaction Centre, London, UK

  • Collaborate in UKRI-funded & EU-funding projects
  • Investigate on multimodal machine learning architecture for human understanding system
  • Data collection, processing and analysis
  • Innovate multimodal machine learning algorithms
  • Deploy in real-life scenarios

Fintech Department Manager & Tech Lead

CNPC, Beijing, China

  • In charge of the FinTech Research Group
  • Led the Commercial Paper Exchange/Risk Management Platform Engineering Team
  • Optimised the system intelligence by utilising AI algorithms to detect money-laundering behaviours
  • Implemented robotic process automation technologies to the Treasury Management System
  • Developed the AI-based Position Investment Strategy Assistant

AI Researcher

University of Edinburgh, Edinburgh, UK

  • Proposed a novel end-to-end multimodal network architecture for smartphone sensor-fusion tracking system
  • Responsible for research project design, conceptualisation, data analysis and system development
  • Published papers as the first author at the Sensors Journal and the IPIN Conference
  • Presented at the IPIN19/21/22 International Conference

AI Researcher

Scotland Microelectronics Centre, Edinburgh, UK

  • Developed an end-to-end neural network navigation system on smartphone platforms
  • Researched machine learning algorithms to improve human activity recognition accuracy
  • Evaluated system performances using WiFi fingerprints and magnetometer cross-sensory dataset
  • Built an Android application to sample and recognise user activities on smartphones

Embedded Software Engineer & AI Researcher

Guozi Robotics Co., Ltd, Hangzhou, China

  • Optimised the inspection robots chassis control system using supervised machine learning techniques
  • Evaluated real-time robot performances of accuracy and robustness under practical scenarios