Dorian Wild was born in Zagreb and is an assistant at the Department of Economics at the Zagreb School of Economics and Management, where he teaches Principles of Economics, Game Theory, Introduction to Programming, Introduction to Artificial Intelligence, and Linear Algebra. In addition to his academic work, he actively participates as a researcher with a particular focus on the interdisciplinary connection between natural and social sciences, the application of artificial intelligence in the analysis of social phenomena, and the study of complex networks (social, biological, informational, and epidemiological).
Dorian holds a degree in Physics and Geophysics from the Faculty of Science, University of Zagreb, where he was one of the pioneers in applying neural networks within the field of physics and geophysics at PMF. Simultaneously, he completed his undergraduate studies in Business Mathematics and Economics at the Zagreb School of Economics and Management, enabling him to acquire a broad spectrum of knowledge and an interdisciplinary approach to research.
He also gained professional experience at Photomath (now Google), where he worked on ensuring data quality for training artificial intelligence models. His responsibilities included the selection and verification of mathematical problems, ensuring accuracy, relevance, and pedagogical correctness of data for effective algorithm training.
Dorian was part of the team that translated the book Artificial Intelligence: A Modern Approach, the most popular AI textbook, into Croatian, making a significant contribution to the educational community and the popularization of AI in Croatia. He regularly publishes scientific papers in his areas of interest and actively participates in international conferences, including the prestigious Generative AI in Education conference at the University of Cambridge.
As a lecturer, Dorian stands out for his ability to present complex topics in an understandable and practical way, using real-world examples and encouraging students to engage in critical thinking and problem-solving.
Science
Podobnik, B., Crawford, G. C., Lichtenstein, B., Lipic, T., Wild, D., Zhang, X., & Stanley, H. E. (2020). The new wealth of nations: How STEM fields generate the prosperity and inequality of individuals, companies, and countries. Chaos, Solitons & Fractals, 141, 110323.
Wild, D., Jurcic, M., & Podobnik, B. (2020). The Gender Productivity Gap in Croatian Science: Women Are Catching up with Males and Becoming Even Better. Entropy, 22(11), 1217.
Podobnik, B., Dabić, M., Wild, D., & Di Matteo, T. (2023). The impact of STEM on the growth of wealth at varying scales, ranging from individuals to firms and countries: The performance of STEM firms during the pandemic across different markets. Technology in Society, 72, 102148.
Lipić, T., Štajduhar, A., Medvidović, L., Wild, D., Korošak, D., & Podobnik, B. (2022). Stringency without efficiency is not adequate to combat pandemics. Chaos, Solitons & Fractals, 160, 112217.