معرفی
Yang Liu is an Assistant Professor at the University of Georgia. His contact information includes the I-STEM Building 1, Room 2040K, located at 302 East Campus Road, Athens, GA 30602, United States. He can be reached at 706-542-5417 or via email at liuy@uga.edu.
Dr. Liu’s research focuses on cutting-edge applications of micro/nano-fluidic technologies to advance patient health outcomes. Central to his work is the development of microfluidic platforms to study cellular phenotypes and molecular expressions at the single-cell level, aiming to uncover fundamental mechanisms of cellular behavior. Additionally, his laboratory integrates droplet microfluidics and protein electrophoresis for analyzing proteoforms in individual exosomes, exploring protein variations and modifications to better understand disease pathways and therapeutic strategies. His research areas include biomedical engineering, microfluidics, molecular biology, cellular biology, proteomics, and stem cell research.
Dr. Liu’s recent publications emphasize the role of microfluidic technologies in metabolic and cellular studies, particularly in adipose tissue biology and stem cell behavior. His work spans from investigating beige adipocyte induction to studying hypoxia’s impact on muscle repair, and includes advancements in medical imaging techniques and the exploration of mitochondrial dynamics in stem cells. These studies highlight his contributions to understanding energy expenditure, obesity mechanisms, and regenerative medicine through innovative engineering approaches.
In terms of advising and grants, Dr. Liu does not have listed advisees or detailed grant information available in the provided text. His research program, however, likely involves ongoing funding and student collaborations, though specific details are not mentioned.
His research is conducted in the Single Cell & Exosome Analysis lab within the I-STEM Building at the University of Georgia, focusing on developing microfluidic platforms and integrative techniques for cellular and exosomal analysis.
