As the inaugural St Baker Fellow in E-Mobility at The UQ Dow Centre for Sustainable Engineering Innovation, Dr Kai Li Lim specialises in data science, engineering, and emerging technologies. His expertise is applied to real-time vehicle telematics, infrastructure management, and computer vision-based autonomous driving, with a notable thesis on "Connected Autonomous Electromobility." Dr Lim's research at UQ concentrates on EV usage and charging patterns to inform adoption policies and strategies. He empirically examines trends for incentive design, along with the environmental and economic impacts of electric vehicles. His research has been featured in numerous academic, industry, and media publications, leading to valuable discussions with various stakeholders. Throughout his career, Dr Lim has published a range of articles, book chapters, and conference papers in reputable venues. He has delivered invited talks and made media appearances in outlets such as the ABC, Courier Mail, and The Conversation. Dr Lim actively collaborates with various schools at UQ, including Information Technology and Electrical Engineering (ITEE), Civil Engineering, Economics, and Earth and Environmental Sciences (SEES). He has successfully secured funding for UQ projects, exploring topics like carbon emissions offset after EV uptake and evaluating price incentives for EV charging using real-time data. Dr Lim actively engages in speaking events and networking opportunities centred on sustainability and innovation in transportation. He has delivered keynote speeches at conferences and industry roundtables, fostering connections within the field. Holding a BEng (Hons) degree in electronic and computer engineering from the University of Nottingham, an MSc degree in computer science from Lancaster University, and a PhD degree from The University of Western Australia, Dr Lim was fully supported by the Australian Government under the Research Training Programme for his PhD studies.