About

Dániel Terbe is an AI researcher and developer based in Budapest, Hungary, with a deep interest in blending the worlds of physics, neuroscience, and artificial intelligence. After earning a BSc in Physics from Eötvös Loránd University, he shifted his focus from understanding the external world to exploring the intricacies of the human mind, completing an MSc in Info-Bionics from Pázmány Péter Catholic University.

Dániel’s work at the Institute for Computer Science and Control (HUN-REN SZTAKI) has allowed him to tackle innovative projects, from remote pulse estimation using everyday cameras to designing machine learning systems for digital holographic microscopy. Alongside developing practical AI solutions for applications such as health monitoring and water sample analysis, he actively conducts research in computer vision and deep learning, contributing to the field through publications in peer-reviewed journals.

When he’s not working on cutting-edge AI projects, Dániel enjoys winter sports, skating, meditating, and jamming with friends, maintaining a balance between technical work and creative, physical pursuits.