Lennart Brocki

Theoretical Physicist | Machine Learning Researcher/Engineer I started my journey in theoretical physics, earning a PhD where I explored classical and quantum gravity, asymptotic symmetries and black hole entropy. During my PhD studies, I developed a growing interest in deep learning. That curiosity eventually turned into a strong motivation to apply the analytical skills I had built in physics to cutting-edge AI research. As a postdoctoral researcher, I’ve been combining my theoretical background with practical applications in medical imaging. My focus has been on developing deep learning models that are not only accurate but also interpretable and transparent—helping to build trust in the medical community by showing how and why these models make their decisions. Most recently, I’ve transitioned into industry as a Machine Learning Engineer at airSlate. Here, I focus on building models that optimize marketing spend and drive business impact. This shift has taken me from computer vision to the world of tabular data, where I design solutions that extract actionable insights from complex datasets.