Marko Zeman is a data scientist with a decade of experience applying deep learning across computer vision, NLP and healthcare domains, currently working at Better. He combines strong mathematical foundations from a Computer and Information Science PhD track with practical tooling expertise in Python, PyTorch and TensorFlow to ship models like CNNs, transformers, GANs and continual-learning systems. His work spans academia and industry, including a published ICLR collaboration with Harvard Medical School on graph-based prediction for irregular time series and applied AI products such as customer support and booking systems. International experience through Erasmus exchanges in Denmark and Sweden and roles at Maersk Møller Institute and Pareto AI underline his ability to thrive in diverse, multidisciplinary teams. Beyond research, he has taught AI courses and optimized urban bike-sharing systems, showing an appetite for translating models into real-world impact. Colleagues describe him as a fast learner with a persistent improvement mindset who seeks practical ways AI can benefit society.
10 years of coding experience
9 years of employment as a software developer
Doctoral degree Computer and Information Science, Doctoral degree Computer and Information Science at University of Ljubljana, Faculty of Computer and Information Science
Artificial Intelligence, Artificial Intelligence at Eindhoven University of Technology
Erasmus+ Exchange Artificial Intelligence, Erasmus+ Exchange Artificial Intelligence at Luleå University of Technology
Erasmus+ Exchange Artificial Intelligence, Erasmus+ Exchange Artificial Intelligence at Faculty of Engineering, University of Southern Denmark
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