DR. BENOIT ROUSSEAU
Dr. Benoît Rousseau is Senior Vice President at The Institute for Perception. Benoît received his food engineering degree from AgroParisTech in Paris, France and holds a PhD in sensory science and psychophysics from the University of California, Davis. He has over 25 years of experience in managing projects in the field of sensory and consumer science, actively working with clients in the US, Asia, Latin America, and Europe. His theoretical and experimental research has led to numerous journal articles as well as several book chapters. Dr. Rousseau regularly teaches short courses and seminars, where his user-friendly communication style of traditional and more advanced scientific topics to small and large audiences is appreciated. He is also involved in academic instruction, which includes a visiting professor position at Chuo University in Japan.
DR. DANIEL M. ENNIS
Dr. Daniel M. Ennis is the President of The Institute for Perception. Danny has more than 40 years of experience working on product testing theory and applications for consumer products. He has doctorates for research in food science and mathematical & statistical psychology. He is also a Professional Statistician accredited by the American Statistical Association. He has published extensively on mathematical models for human decision-making and was the first to show that humans possess a transducer in the chemical senses. In 2001, he solved the degeneracy problem in multidimensional unfolding. Danny is a recipient of the Sensory and Consumer Sciences Achievement Award from IFT and also the ASTM David R. Peryam Award in recognition of “outstanding contributions to the field of basic and applied sensory science.” Danny consults globally and has served as an expert witness in a wide variety of advertising cases.
William (Will) Russ is a Computational Market Researcher and Lead Programmer for The Institute for Perception. Will has a BS in Applied Mathematics and frequently works on internet surveys for product development, marketing, and regulatory compliance. His research interests include optimization, machine learning, graph theory, and numerical analysis. Will has taught principles of data science and machine learning with applications to sensory and consumer science, including consumer surveys.