CV

Education

The Chinese University of Hong Kong — PhD in Computer and Information Engineering, 2018 – 2023

• Thesis: Data-Driven High-Resolution Carbon Emission Measurement — Supervisor: Prof. Junhua Zhao
• Proposed a piecewise unit-level dynamic emission factor (DEF) model; developed NILM-based real-time industrial carbon estimation with deep-learning imputation; extended to 48 Chinese cities and near-real-time global estimation.
• Supported by a competitive CUHK Postgraduate Fellowship (2018 – 2023) and a Shenzhen Research Institute of Big Data Fellowship (2020 – 2022).

North China Electric Power University (NCEPU) — BEng in Electrical Engineering and Automation, 2014 – 2018

• Grade: 92/100. Outstanding Graduate of Beijing and of the University; First Class Scholarship (2015 – 2018).
• Thesis: Campus Energy Internet Optimisation Planning Based on Energy Hub

The University of Newcastle, Australia — Visiting Student, Outstanding Undergraduate Exchange Programme, Feb – Jun 2018

Professional Experience

Nature Energy, Springer Nature, Shanghai, China — Associate Editor (Jul 2026 – Present)

• Handling research manuscripts at Nature Energy, building on a research background in AI for energy systems, digital twins, virtual power plants, smart energy systems, and carbon accounting.

Durham University, Durham, UK — Postdoctoral Research Associate, Department of Engineering (Sep 2023 – 2026)

• EPSRC VPP-WARD (EP/Y005376/1): led digital twin modelling for virtual power plants; developed novel forecasting and risk-aware dispatch optimisation; coordinated research across 3 universities and 11 industrial partners including Siemens, National Grid, and Equinor.
• EPSRC CHEDDAR (EP/X040518/1, EP/Y037421/1): led development of 6G-assisted digital twin architectures for real-time monitoring and control of energy networks.
• Co-supervised a PhD student on grid-forming/grid-following converter control and three BEng/MSc project students.
• Initiated and led the Women in Engineering Society (WES) Durham research programme; co-organised the ECR Net Zero 2026 conference.

Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany — Visiting Postdoctoral Research Associate (Jan – Feb 2026)

• Collaborated on communication-constrained virtual power plant optimisation.

Princeton University, USA (Remote) — Visiting Postdoctoral Research Associate (May – Jul 2025)

• Collaborated with Prof. H. Vincent Poor on low-carbon resilient transition strategies for power systems.

Carbon Monitor Group, Tsinghua University, Beijing, China — Research Assistant (Feb 2022 – Feb 2023)

• Developed near-real-time carbon emission estimation models for 48 Chinese cities.

Alibaba Cloud, Product and Solution Unit, China — Research Intern (May – Jul 2022)

• Developed LLM-based corporate carbon footprint accounting methods.

Shenzhen Research Institute of Big Data, Shenzhen, China — Research Associate (Sep 2020 – Sep 2022)

• Analysed user electricity behaviour and carbon emissions for smart city projects.

Research Grants & Projects

• VPP-WARD: Virtual Power Plant with AI for Resilience and Decarbonization — EPSRC UKRI, EP/Y005376/1 (£1.84M), Oct 2023 – Jan 2026. Role: major participant; led digital twin modelling for VPPs with advanced forecasting and scheduling optimisation.
• CHEDDAR: Communications Hub for Empowering Distributed Cloud Computing — EPSRC UKRI, EP/X040518/1 & EP/Y037421/1 (£15M), Jun 2024 – May 2026. Role: major participant; led 6G-assisted digital twin architectures for energy networks.
• Privacy-Preserving ML for Electric-Carbon Collaborative Demand Response — NSFC General Program (¥0.49M), Jan 2021 – Jul 2025. Developed carbon emission measurement and low-carbon grid optimisation models.
• Shenzhen Power Grid Planning for Carbon Neutrality — China Southern Power Grid (¥0.8M), Oct – Dec 2021. Proposed carbon accounting methods and low-carbon transition path design.
• Financial Market Design for Electricity in Southern China — CSG Energy Development Research Institute (¥0.8M), Sep 2019 – Sep 2020. Studied international electricity markets; drafted strategic reports.
• Independent funding development — MSCA Seal of Excellence; preparing EPSRC New Investigator, Supergen flexible funding, and Innovate UK/IAA proposals on AI-informed digital twins for carbon-aware, resilient energy systems.

Teaching

Associate Fellow of the Higher Education Academy (AFHEA). Teaching Assistant for MSc modules at Durham University (Environmental Engineering, Smart Energy Networks, Planning and Contract Law) and for four English-medium modules at The Chinese University of Hong Kong, Shenzhen (Electrical Power Systems, Energy Economics, Electricity Market, Linear Algebra). See the Teaching page for details.

Technical Skills

• Programming & Tools: Python (PyTorch, TensorFlow, Pandas), MATLAB/Simulink; Optimisation: Pyomo, YALMIP, Gurobi/CPLEX; LaTeX, Overleaf, Zotero
• Teaching Tools: Blackboard, online/hybrid delivery, MATLAB/Python for educational exercises
• Professional: IEEE Member (since 2019); progressing towards Chartered Engineer (CEng) registration with the IET
• Languages: English (fluent), Mandarin (native)

Invited Talks & Presentations

• AI for NetZero Webinar (Oct 2024, YouTube Live); 6G Digital Twins Workshop, CHEDDAR (Jul 2024); VPP & AI Workshop, VPP-WARD (Jul 2024); EPSRC Supergen Risk & Resilience Day, Newcastle (Mar 2024).
• Oral presentations at IEEE PES ISGT Europe 2025, IEEE IECON 2024, IEEE ICGEA 2025, IEEE EI2 2022/2023, and IEEE CIEEC 2022.