Dr. Luan was trained as an experimental physicist. Dr. Luan received her B. S. from the University of Science and Technology of China with a major in Physics and a minor in Electrical Engineering. She then went to Stanford University to pursue her Ph. D. in Physics (2011), followed by three years at Harvard University as a postdoctoral fellow in the Physics department. She moved to Austin in the fall of 2014 and decided to make the transition from Physics to Biomedical Engineering while being a research scientist in the Department of Physics. She joined the Department of Biomedical Engineering as a research assistant professor in Sep 2017 and started her independent research on integrative neural interface since then. She moves to Rice University in Oct 2019 to join the faculty in Department of Electrical and Computer Engineering and as part of the Neuroengineering Initiative.
Dr. Luan's work has been recognized by several agencies including Quantitative Research Development Award from National Lung, Heart, and Blood Institute; American Heart Association Scientist Development Award (declined). She was the finalist of the Lawrence Golub Postdoctoral Fellowship at Harvard University, and received Guo Moruo Fellowship from University of Science and Technology of China (summa cum laude).
Dr. Luan's research interest centers on the development of integrative neural interfaces that combine the state-of-art electrical, optical and other technologies to monitor and manipulate brain activity. The application of these neurotechnology advancements enables the fundamental investigation of neurological disorders and the development of novel therapies. The group's current efforts are on the following three endeavors: 1) combining spatially resolved neural recording and modulation with functional imaging of hemodynamics for improved understanding of neurovascular coupling in health and in disease models. 2) the effect of chronic intracortical microstimulation delivered by ultraflexible electrodes on single neuron, neuronal population and behavior in normal and diseased brain; 3) further development of ultraflexible electrodes for high-channel counts, high throughput, and for precise recording and stimulation of individual neurons in a chronic closed-loop and activity-guided system. With these connected efforts we wish to better understand the damaging mechanisms of neurological and neurovascular diseases, and to develop effective invention strategies at minimal adverse effects.
Department of Electrical and Computer Engineering,
6556 Main St, BRC, Rice University
Houston, TX, 77005