Ivan Stelmakh

Ivan Stelmakh is an Assistant Professor at the New Economic School (NES) since 2022, where he teaches courses such as Artificial Intelligence in Economics and Machine Learning in Business. He holds a PhD in machine learning from Carnegie Mellon University (2022).

• Research focuses on artificial intelligence intersecting behavioral economics, game theory, and social sciences.
• Experience in research at Google, Yandex, and the University of Western Ontario.

His work has been published in top-tier venues like PLoS ONE, NeurIPS, and AAAI, addressing peer-review dynamics and algorithmic fairness. Media outlets such as Forbes and ScienceMag News frequently highlight his insights on AI's societal impact.

Stelmakh advocates for interdisciplinary collaboration in AI development, emphasizing the need for economists, sociologists, and ethicists to address systemic risks. His research aids over 10,000 researchers globally.