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Artem Strashko, Ph.D.

QML application scientist, Zapata Computing
Flatiron Research Fellow, CCQ (2019-2022), Flatiron Institute
Portrait photo of Artem Strashko

Artem Strashko was a Flatiron Research Fellow at the Center for Computational Quantum Physics from 2019 to 2022, where he researched the effects of strong matter-light coupling and developed tensor network approaches for machine learning applications. From 2022 to 2024, Artem worked as a Senior Application Scientist at Zapata Computing, where he focused on developing tensor network methods as well as classical machine learning and deep learning techniques for a wide range of problems, including generative modeling, anomaly detection, and time series scenario generation and forecasting. Since 2025, Artem has been a software engineer at Celonis, specializing in machine learning.

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