Oldenburg, Lower Saxony, Germany
I am a data enthusiast working in the renewables domain for 10+ years. My motto reflects the way I work: impact first, AI second. As a physicist with a degree in business administration, I strive for unconventional solutions. Always focused on product innovation, with a passion for the latest technology, but with a keen eye on profitability.
Driving ENERCON’s Digital Transformation and AI Scale-Up - Responsible for the R&D AI Strategy, from frontrunner to ENERCON-wide standard - Founding member of the ENERCON Data & AI steering board to get scalable AI solutions into corporate domains - Full disciplinary and budget responsibility for Data Engineering and Data Science teams from Europe and India - Monetizing AI, from internal productivity solution to external data product
Building a high-impact Team with attitude, and culture - Implemented a rigorous value-driven framework to ensure AI initiatives have high business impact and low risk - Designed, built, and led a 12-FTE data team, focusing on merging deep domain and AI expertise through targeted recruitment - Created a spirit of ‘giving energy’ to internal stakeholders, pro-actively offering support in solving R&D pains and finding novel solutions to achieve strategic R&D goals
Founding a self-sufficient Data Team - Formed an effective international team capable of end-to-end data product development, from ideation, through initial pilot to full-scale production - Expanded the team's scope beyond project value assessment to also include AI driven turbine engineering, and operational data processing to make turbines smarter - Directed the team to automate data, training and deployment pipelines, enabling the first generation of scalable data solutions in R&D
Promoting wind turbine technology ∠ Acquiring and managing projects dealing with rotor blade aerodynamics, extreme events, fatigue loads and predictive maintenance ∠ Technical lead of young scientists in the field of unsteady aerodynamics, 3D data analysis and flow visualization
Cutting-edge research for the future of wind energy ∠ Uncovering connections in complex data sets using pattern recognition and stochastic time series analysis ∠ Expert in design of experiments and optical flow visualization
∠ Regression and pattern recognition in experimental data of turbulent flow about rotor blades ∠ Dynamical modeling of complex stochastic processes ∠ Developed analysis code for big experimental data sets
Intermittend employment with different responsibilities: ∠ Contribution to literature review on »The Evolvement of Energy Informatics« at the Department of Information Management ∠ Educational support and professional supervision of school classes conducting different lab projects at the DLR_School_Lab