Dr. Xinlei Wang

Postdoc Researcher
Email: [email protected]

Xinlei Wang is a postdoctoral researcher at INSAIT, hosted by Prof. Luc Van Gool. She completed her Ph.D. in Electrical and Computer Engineering at the University of Sydney under the supervision of Dr. Jeremy Qiu, supported by the Australian Government Research Training Program (RTP) Scholarship. She also received her M.Sc. in Data Science and her B.B.A. in Finance and Global Business Management from The Chinese University of Hong Kong, Shenzhen, where she worked withProf. Junhua Zhao on research into carbon and electricity markets.

Xinlei’s research focuses on advancing reasoning for complex engineering systems and understanding the environmental footprint of the AI industry. She develops methods that leverage large language models to improve decision-making in energy system contexts, particularly in unstructured, multimodal settings. In parallel, she builds large-scale carbon accounting frameworks to quantify the energy consumption and emissions associated with the AI industry in the era of scaling law.

Her research has been published in top venues, including NeurIPS and interdisciplinary journals such as Nature Reviews Electrical Engineering, Cell Patterns, Cell Nexus, and Engineering. Some of her research has received media coverage, including reporting by MIT Technology Review (China).

She has also led and contributed to carbon rating reports for listed companies in Australia and China, developed high-resolution firm-level carbon emission databases, and worked on projects related to green bond verification and electricity market pricing standards.