Summary
Luke Bovard is a Senior Data Scientist based in Berlin with 13 years of experience blending deep academic research and industry-grade machine learning across finance, banking, and large-scale consumer platforms. He holds a PhD in Astrophysics and a strong computational mathematics background, which he has translated into practical work on recommendation systems, segmentation, and optimization at Delivery Hero and vendor-focused models. At Deutsche Bank he bridged research and production in corporate banking and mobile loyalty products, and he now contributes to AI Guild while leading data efforts at Plato. His career includes academic postdoc work in computational general relativity and quantitative research for a hedge fund, giving him a rare mix of theoretical rigor and product-minded experimentation. Known for turning complex physics-style problems into scalable data solutions, he thrives on applying spectral and numerical methods to real-world predictive modeling and optimization challenges.
13 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Astrophysics, Doctor of Philosophy (Ph.D.) Astrophysics at Goethe University Frankfurt
Masters of Mathematics Scientific Computation, Masters of Mathematics Scientific Computation at University of Waterloo
English, French, German