Nicolas Roussel

Nicolas Roussel, PhD is an active researcher and developer at MBF Bioscience, a company that develops software and hardware for bioscience research and biomedical applications. He has been involved in research on machine learning and the design of intelligent computer vision systems for more than 15 years. A common theme of his research has been investigating robust adaptive computational solutions to problems in natural science that leverage both implicit and explicit assumptions.

His research includes a wide variety of techniques in image analysis, computer vision, data mining and machine learning. As a Computational Scientist at MBF Bioscience, he has been responsible for designing, managing, and conducting the research efforts on the technological aspects of many funded and proposed grants resulting in several successful commercial products. He is co-inventor and patent holder of innovative model-based non-linear registration technologies utilized in these products.

Leveraging his experience in the specific field of deep learning and the Convolutional Neural Network architectures applied to images and videos, he is leading the research and development of new adaptive tissue and object detection technologies.

He holds a M.S. in Computer Science from the French engineering school ESCPE Lyon (2001), a M.S. in Electrical Engineering from Oregon State University (2003) and a Ph. D. from Rensselaer Polytechnic Institute (2008).