Researcher biography

Dr Dan Yuan is currently a Lecturer in the School of Mechanical and Mining Engineering (SoMME) at the University of Queensland. She completed her PhD at the University of Wollongong (UOW) in 2018. After graduation, she continued her research at UOW as an Associate Research Fellow. From 2019 to 2021, she was a JSPS Research Fellow in the Department of Chemistry, Faculty of Science, University of Tokyo. From 2021 to 2022, she worked as an Alfred Deakin Research Fellow at Deakin University.

Based on the micro-nano devices, she was doing interdisciplinary research of mechatronics, chemistry, physics, optics, environmental and biomedical applications, aiming at addressing real-life challenges in both environment and biomedicine. Her research interests are microfluidics, microfabrication, development of point-of-need devices for environmental and biomedical applications, intelligent image activated cell sorting, and smart sensors, materials and platforms.

In less than 10 years' research time, she published 57 peer-reviewed journal articles which have received > 2500 citations. The prestigious journals include Adv. Funct. Mater., Nat. Commun., Small, Lab Chip, Microsystems & Nanoengineering, and Anal. Chem. She currently has an h-index of 25. She was the Guest Editor for Biosensors (2022), Frontiers in Medical Technology (2021-2022); regular independent reviewer for more than 10 international journals such as ACS Nano, Lab on a Chip, Analytical Chemistry, Microsystems and Nanoengineering, Scientific Reports, IEEE Transactions on Mechatronics, Microfluidics and Nanofluidics, Cytometry Part A. etc. She was awarded the prestigious Alfred Deakin Research Fellowship and JSPS Research Fellowship.

Master and PhD positions are opening. The potential research projects include physics of fluid flow (especially non-Newtonian fluids) in micro/nano-channels, manipulation and separation of micro-/nanoparticles and fluid control, development of point-of-need devices for environmental and biomedical applications (e.g. disease diagnosis and therapeutics), intelligent microfluidics. Candidates with backgrounds in engineering (e.g., mechanical, mechatronics, materials, chemical and biomedical etc.), information technology, physics and biomedicine are welcome to enquiry.