Dr. John Murray-Bruce received both the MEng degree with honours (2012) and the PhD degree (2016) in Electrical and Electronic Engineering (EEE) from Imperial College London, UK. At Imperial College London, he received the Institute of Engineering and Technology (IET) award in 2012 for best overall performance in the MEng degree, as well as the Maurice Hancock award in 2008. In 2017, he joined the Electrical and Computer Engineering department of Boston University (Boston, MA) as a postdoctoral research associate. He is currently an Assistant Professor at the Bellini College of Artificial Intelligence, Cybersecurity, and Computing at the University of South Florida, where he leads the Information Science and Computational Imaging (ISCI) lab. By co-designing imaging sensors (optical hardware) and computational algorithms (software), his primary research goal is to realize new imaging systems engineered to see with unprecedented clarity and precision especially in extreme conditions, from systems that see around or through obstacles even from extremely long stand-off distances to those that see with sub-nanometer resolution. Potential applications for such systems include enhancing safety and situational awareness for autonomous vehicles, improving the efficiency and safety of reconnaissance missions, enabling the discovery of new materials for efficient energy storage (batteries) and energy conversion (photovoltaics), as well as enabling the discovery of new therapies, drugs, and biological processes. He has received the National Science Foundation (NSF) CAREER Award, the 2018 IEEE International Conference on Computational Photography Best Poster Award, and the 2021 International Conference on Lasers and Electro-Optics (CLEO) Best Student Poster Award. Dr. Murray-Bruces research is supported by DARPA and the NSF. He is a (founding) Co-chair for the IEEE Research and Applications of Photonics in Defence conference, serves on Opticas Imaging and Applied Optics Congress Technical Committee, and has served on the IEEE Computational Imaging Technical Committee (2021 - 2023).