Andreas RennerSenior Data Scientist

Andreas has a strong background in statistical mechanics & nonlinear dynamics together with an advanced degree in physics. He has developed and applied statistical methods and control algorithms both in academia and industrial settings.

Andreas has solved modelling and prediction problems in the socio-economic context of population dynamics and economic development, as in the engineering context of predictive maintenance and life time estimation, and within the industrial context of modelling, simulation and control of automated production facilities.

Andreas’ industry experience is ranging from automotive and supply to plant manufacturing and energy.