- Computer Vision
- Natural Language Processing
- Predictive Analysis/Time-Series
- Deep Learning/GANs
Director of Data Science, Healthcare & Life Sciences
David McNamee is a director of data science at SFL Scientific with a focus in the healthcare and lifesciences field. Earning his Master’s in Physics from the University of Ottawa he has focused on developing innovative solutions to problems utilizing an array of mathematical methods and deep learning technologies. David is an expert in advanced machine learning and deep learning techniques, working with clients to implement GANs, CNNs, RNNs, and attention mechanisms, particularly when applied to digital signals and image processing. Working with clients such as P&G, Biogen, and First American Title, David has developed custom AI solutions helping organizations leverage state of the art techniques to solve consumer, operational, and forecasting challenges.
Prior to joining SFL Scientific, David was a data scientist and software developer working in research and development of innovative solutions to problems pertaining to data acquisition from experimental probes, data analysis, and visualization, including implementing a number of novel imaging and measurement research tools for microscopic muscle manipulation and measurement. He was the Head of Linux Development of Aurora Scientific and responsible for the design, development, and maintenance of electronic data acquisition systems.