Emily Veenhuis is an R&D engineer primarily on Kitware’s Computer Vision Team. She helps the team develop robust solutions for real-world problems by developing reusable and extensible architectures and analyzing and optimizing system performance. Emily also contributes to Medical Computing Team projects, specifically the Pulse Physiology Engine. The focus areas of her projects include ethical artificial intelligence (AI), explainable AI (XAI), and user-in-the-loop AI.

Emily has a master’s degree in computer & systems engineering from Rensselaer Polytechnic Institute (RPI). Her studies focused on computer vision, imaging and image processing, and spatial data analysis. She also received her bachelor’s degree in computer science/computer & systems engineering, with a concentration in computer vision and graphics, from RPI. During her studies, Emily contributed to the development of an augmented reality system for use in Raytheon’s manufacturing lines. The solution allowed overlays to be dynamically placed over the working area to indicate where the piece of hardware needed to be placed. Prior to being offered a full-time position, Emily worked on object tracker improvements as a Kitware intern. This hands-on experience with the topics she was studying in school solidified her decision to pursue a career in computer vision.