Postdoctoral Researcher at Hasso Plattner Institute
Potsdam, Brandenburg, Germany
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Summary
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Stratis Tsirtsis is a postdoctoral researcher at the Hasso Plattner Institute with nine years of experience at the intersection of machine learning, causal inference, and strategic decision-making in AI systems. He completed a PhD at the Max Planck Society while developing ML methods for AI-assisted decision making grounded in game theory and optimization, and spent a research visit at Stanford in 2023. His work spans academia and industry, including a Meta research internship where he built bandit algorithms for recommendation environments with strategic users and creators. Earlier projects combined high-performance simulation of neural dynamics using OpenMP and CUDA, reflecting a comfort with both theory and low-level, parallel implementation. Based in Potsdam, he focuses on computational methods to understand and improve AI’s social impact, blending rigorous causal tools with practical algorithm design. Colleagues would note his ability to move ideas from formal models to deployable algorithms that account for multi-agent incentives.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Max Planck Society
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at RPTU Kaiserslautern-Landau
Diploma, Electrical and Computer Engineering, Diploma, Electrical and Computer Engineering at National Technical University of Athens
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Stratis Tsirtsis - Postdoctoral Researcher at Hasso Plattner Institute