CHRISTOPHER GAUGHAN

Python Developer specializing in Machine/Deep Learning, particularly as it applies to Image Classification and Robot Arm movement accuracy/precision. Specialty in Medical Imaging of critical anatomical structures for identification and subsequent delivery of accurate amounts of liquid (robotic instruments, cannula, needles) where viscosity must be accounted for. Highly skilled in computational methods and programming, robotics, algorithmic development, and data structures to refine code interacting with Convoluted Neural Networks to identify anatomical structures primarily via PyTorch and Tensorflow. Uses Python programming to develop robot arm precision of movement and injection of specific amounts of liquid via delivery devices as a function of viscosity and solution/mixture properties of liquid (critical because solutions and mixtures have different properties with respect to target delivery). PROFESSIONAL ACHIEVEMENTS Developed methods for preprocessing clinical images and analyzing targeted anatomical features using Deep Learning/ Convoluted Neural Networks methods to guide robotic manipulation of tools to interact with studied anatomical elements. Developed clinical imaging platforms with ultra-high sensitivity, high throughput, and automated data analysis generating decreased costs and time to production of prototypes. Prototype development of macromolecules, bioreactors, and robotic injection ports. Developed a lipid bi-layer model for use in Molecular Dynamic simulations, with the model featuring the exact lipid composition client needed for use in performing experiments in the mass transport of an anesthetic throughout a surgical site in the knee. Dedicated Bioengineering professional with a history of meeting company goals utilizing consistent and organized practices. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organizational brand.