Lukas holds a Master’s in Computational Physics from Heidelberg University and a Bachelor’s in Physics from the University of Hamburg. He specializes in designing and developing scalable AI models that power Socialtrait’s AI-driven communities, which enable businesses to gain actionable consumer insights at scale. With a deep understanding of machine learning, deep learning, and neural networks, Lukas has been instrumental in building technologies that simulate target audiences and optimize decision-making processes. His work is at the intersection of data science, AI engineering, and behavioral analytics, driving innovation in the consumer insights industry. Before joining Socialtrait, Lukas was involved in several high-impact research projects in both academia and industry, further strengthening his expertise in AI, data science, and complex system modeling. His contributions to AI research include advancements in time-dependent forecasting and neural network architectures for dynamical systems.