Biography

I am a materials scientist dedicated to bridging the gap between experimental metallurgy and data-driven innovation to develop next-generation materials. Currently serving as a Postdoctoral Researcher at Tsinghua University, my work focuses on AI-enabled alloy design, with a primary emphasis on the development and optimisation of high-strength steels.

Prior to my current role, I completed my PhD at the University of Manchester (2021–2025). My doctoral research involved the high-resolution characterisation of additively manufactured aluminium-lithium alloys. During this time, I gained four years of independent experience operating the NanoSIMS 50L, where I developed advanced proficiency in primary and secondary ion column tuning and technical troubleshooting. By correlating NanoSIMS data with EPMA-SXES analysis, I pioneered workflows for lithium quantification and image analysis, enhancing our understanding of lithium distribution in complex materials.

My research methodology combines sophisticated experimental techniques with computational tools:

• Advanced Microscopy: Over 4 years of experience in SEM-EDX and elemental mapping , alongside expertise in XRD and Raman spectroscopy.
• Modelling & AI: I utilise JMatPro and Abaqus to predict phase transformations and build 3D material models.
• Data Analysis: I am proficient in using Python for materials data analysis , as well as specialist software such as ImageJ, L’image, and Calcimage

• A featured image in the 2023 Cameca calendar for excellence in NanoSIMS imaging.
• The Crossley Award from the UK Surface Analysis Forum (UKSAF) for notable industrial applications.
• Multiple prizes for oral and poster presentations at international conferences, including the Advanced Metallic Systems CDT and the NanoSIMS Workshop.