Engineering Microelectronics to Satisfy the Biological Requirements of Nature
A key challenge in the application of microelectronics for clinical diagnostics and therapeutics lies at the interface between the device and the complex physiological environment. In this presentation, I will introduce a paradigm shift with the direct use of biological materials in engineering physiological-interfacing technology. First, implantable and wearable devices must be both biologically and mechanically compatible with the host environment to overcome the foreign body response. To address these challenges, I will introduce natural materials‑based devices for neural interfacing and transcutaneous sensing. These devices are not only able to provide rich physiological information, but also provide a more biomimetic approach to seamlessly interface with the local host environment. Second, wireless interrogation is desired to minimize implant footprint for many healthcare applications. Towards this goal, I will introduce biosensors featuring magnetoelastic sensing modality to support wireless detection. This body of work serves as a trajectory towards tackling the biological requirements of clinical, fundamental biology and agricultural monitoring.
University of Pennsylvania
Wen Shen is currently a Senior Research Engineer in Electrical and Systems Engineering at the University of Pennsylvania. She attended Shanghai Jiao Tong University in China, where she received her B.S. in Materials Science and Engineering and minored in Biological Engineering in 2005. Dr. Shen then pursued her M.S. (2010) and Ph.D. (2011) degrees in Probability & Statistics and Materials Engineering, respectively, from Auburn University, working with Professor Bryan Chin. She then moved to Georgia Institute of Technology (2011) and University of Pennsylvania (2014) as a postdoctoral fellow in Electrical Engineering, working with Professor Mark Allen.
Her research interests are in the development of MEMS‑based sensors and actuators, such as those harnessing magnetic sensing methodologies, to wirelessly interrogate biological systems.