Our research combines unique optoelectronic materials with nanophotonics to create new platforms for high-efficiency machine learning and high-precision biosensing. Key to our work is a fundamental understanding of light-matter interaction at the nanoscale and use of advanced nanofabrication techniques to address major challenges facing these disciplines. The following areas of research in our group are: 1) Photonic Devices and Architectures for Machine Learning; 2) Waveguide-Integrated Nanoplasmonics for High Density Biosensing; and 3) Waveguide-Integrated 2D Materials for High Performance Optoelectronics.
Prospective graduate students interested in joining our group should apply to the PhD program in the ECE Department. Please email Nathan with your CV and research interests if you have an undergraduate degree in physics, EE, or a related field and would like to join the group.