Junqi is currently a PhD student in the University of Edinburgh and is supervised by Prof. Mike Davies. His research focuses on the design of efficient large-scale optimization algorithms via actively exploiting the solution’s intrinsic low-dimensional structure such as low-rank and sparsity, for machine learning and signal processing applications. His research is funded by EU H2020 project.

Before starting his research in large-scale optimization, he had 4 wonderful years in Sichuan University, China as a undergrad majoring in Electrical Engineering from 2010 to 2014. Then he undertook a MSc in Signal Processing and Communication at the University of Edinburgh with Prof. Mike Davies from 2014 to 2015, worked on the Non-uniform FFT based 3D image reconstruction algorithms for cone-beam CT.