Benjamin Renoust
Director of Data and Knowledge Engineering @Median Technologies
Signup · Get unlimited contacts
WORK HISTORY
Director of Data and Knowledge Engineering @Median Technologies
Valbonne, FR
Director of Data and Knowledge Engineering, eyonis Senior Data Scientist Artificial Intelligence and Data ScienceRefine the data to power our AI factory. The data and knowledge engineering team handles the data lifecycle from ingestion to ML preparation. Includes visual analytics and knowledge representation and mining.We organize data, manage all ETL pipelines to prepare data and collect, curate, and align ground truth before experiments. We run experiments to evaluate different facets of our AI products. We are in charge of the design and execution of all the independent verification, and FDA validation of our AI products.
EDUCATION
Université de Bordeaux
Doctor of Philosophy (Ph.D.), Computer Science
Korea Advanced Institute of Science and Technology
Engineer - Master, Computer Science
UTBM
Engineer - Master, Image, Interactions and Virtual Reality
Université Marie et Louis Pasteur
DUT, Computer Science
SKILLS
ABOUT BENJAMIN RENOUST
Understanding the world in its complexity is a fascination which questions the place of human beings in the whole system. We do so by capturing the reminiscences of our interactions with the world and yet we merely grasp its comprehension. Often in our attempts to observe the world, we look at these precise interactions, at the level of which, networks appear to be an excellent means of study. We can visualize them, manipulate them, and analyse them. They are abstract structures and yet easy to visually interpret, almost as if they were tangible objects. Graph theory provides us strong means of analysis of networks, and their visualization challenges us in exploring them.I am fascinated by the explanatory power of such models, and my research aims at using the most adequate tools from theory to visualization to empower understanding of complex phenomena. I intend to confront my work with as many application domains possible, each enriching our research with a new set of questions and challenges pushing further our work.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.