​I am eager to participate in the Hong Kong Laureate Forum to engage with esteemed scientists and fellow young researchers, fostering interdisciplinary collaborations that bridge bioinformatics, machine learning, and neurorehabilitation. My doctoral research focuses on developing the Human SCI Rehabilomics Atlas, integrating multi-omics data to map recovery trajectories in spinal cord injury patients. This work aims to advance precision medicine and tailored rehabilitation strategies. Attending the Forum will provide a unique opportunity to exchange insights on data-driven approaches in biomedical research, contribute to discussions on computational methods in healthcare, and gain perspectives that will enhance my research. The Forum's commitment to connecting current and next-generation scientific leaders aligns with my dedication to advancing healthcare through collaborative and innovative research.

University of bern / Swiss Paraplegic Research in Nottwil, Switzerland

​My doctoral research focuses on developing the Human SCI Rehabilomics Atlas, a comprehensive resource aimed at elucidating molecular signatures and recovery mechanisms in spinal cord injury (SCI). By integrating multi-omics data (encompassing proteomics, transcriptomics, and microbiome analyses) from the Swiss Spinal Cord Injury Cohort Study (SwiSCI) Biobank, this project seeks to identify key molecular pathways that influence neurological and functional recovery in SCI patients. Employing advanced bioinformatics and machine learning techniques, I analyze complex datasets to uncover patterns and biomarkers associated with patient outcomes. The ultimate goal is to facilitate the development of personalized rehabilitation strategies tailored to individual recovery trajectories. This research stands at the intersection of computational biology and neurorehabilitation, aiming to advance precision medicine approaches for SCI treatment.