معرفی
Andy Tran is an Education-Focused Lecturer in the School of Mathematics and Statistics at The University of Sydney, part of the Faculty of Science. He holds a PhD in statistical bioinformatics from the University of Sydney. His research interests span precision medicine, computational biology, genomics, and the development of bioinformatics tools for analyzing single-cell multi-omic data and gene regulatory networks. His work integrates systems biology approaches to address challenges in cell reprogramming, allograft dysfunction, and viral pathogenesis.
Tran’s publications reflect a focus on precision medicine pathways, transcriptomic analysis, and scalable methodologies for understanding cell-cell communication in diseases like COVID-19. His educational role emphasizes innovative teaching strategies using tools like SCDNEY for data storytelling. While no awards are explicitly mentioned, his contributions to computational frameworks such as scREMOTE highlight his technical expertise. He actively supervises research projects and contributes to interdisciplinary collaborations within the Faculty of Science.
His research spans from foundational studies in systems biology to applied computational models, with a commitment to advancing both academic and clinical applications of bioinformatics. Current work includes optimizing multi-platform precision medicine strategies and leveraging single-cell data to decode complex biological systems.
