Experience

2025
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
2023
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
2022
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
2019
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
2018
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
2016
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
2016
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
2016
Mobile Software Engineer Institute for Digital Communications, University of Edinburgh · Edinburgh, UK
  • Movement data collection and processing based on wearable devices
  • Developed an instant user movement prediction system clustering walking, running, jumping, swimming and related complex non-periodical movements
  • Developed and tested deep neural network and convolutional neural network based machine learning algorithms
  • Improved the recognition accuracy from 60% to 97.4%
2015
Digital Security System Intern Bank of England · London, UK
  • Digital trading system development
  • Investment strategy and risk management