Advancements in information technology, instrumentation, computing and storage capabilities have dramatically increased the stream of data collected from sensors and individuals and the processing power to analyze the data.
New data-driven models and engineering design concepts offer the promise of more accurate analysis, more accurate prediction, more precise control, and more reliable outcomes. Applying these emerging data-driven engineering design concepts to the field of Life Sciences is a promising endeavor and will likely have strong impact on future design practices.

Graduating Ph.D. students with novel research contributions that fit into the general theme of Data-Driven Engineering in the Life Sciences are eligible to apply to the Annual PhD Summit of the School of Engineering at EPFL.