2021 to Present - Doctor of Philosophy (PhD)
Technische Universität Berlin, Berlin, Berlin, DE

2019 to 2021 - Master of Science in Computer Science (Computer Science)
Nazarbayev University, Astana, Astana, KZ

2015 to 2019 - Bachelor of Science in Computer Science (Computer Science)
Nazarbayev University, Astana, Astana, KZ

2021 to Present - Research associate (Wissenschaftler mitarbeiter) (Maschinelles Lernen und Unsicherheit)
Physikalisch-Technische Bundesanstalt, Berlin, DE

2020 to 2021 - Research Assistant (Computer Science)
Nazarbayev University, Nur-Sultan, KZ

• Rustam Zhumagambetov, Niklas Giesa, Sebastian D. Boie, Stefan Haufe, "GHOSTS: Validated generation of synthetic hospital time series". Artificial Intelligence in Medicine, 2026. DOI: 10.1016/j.artmed.2026.103443

• Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Ahcène Boubekki, Jörg Martin, Danny Panknin, "Explainable AI needs formalization". npj Artificial Intelligence, 2026. DOI: 10.1038/s44387-026-00095-1

• Sebastian Daniel Boie, Niklas Giesa, Maria Sekutowicz, Rustam Zhumagambetov, Stefan Haufe, Elias Grünewald, Felix Balzer, "Multimodal data for predictive medicine: algorithmic fusion of clinical data in anesthesiology and intensive care". Frontiers in Medicine, 2026. DOI: 10.3389/fmed.2026.1746867

• Niklas Giesa, Rustam Zhumagambetov, Maria Sekutowicz, Victor Sikora, Sophie Piper, Felix Balzer, Stefan Haufe, Sebastian Daniel Boie, "Benchmarking imputation methods on real-world clinical time series with simulated spatio-temporal missingness". preprint, 2025. DOI: 10.21203/rs.3.rs-7263571/v1

• H. Rabus, N. Agarwal, A. Boubekki, Y. Bozkurt Varolgünes, B. Clark, C. Elster, J. Faller, N. Hegemann, S. Haufe, S. Heidenreich, R.-P. Kapsch, A. Kofler, C. Kolbitsch, A. Märtens, J. Martin, G. O'Connor, D. Panknin, O. Pfeffer, S. Pojtinger, A.-B. Schönfeld, D. Schote, P. Schünke, M. Schwarze, P. Tappayuthpijarn, L. Thomas, L. Winter, R. Zhumagambetov, F. Zimmermann, "Metrology for artificial intelligence in medicine". Measurement: Sensors, 2025. DOI: 10.1016/j.measen.2024.101789

• Lorena Cecilia López Steinmetz, Margarita Sison, Rustam Zhumagambetov, Juan Carlos Godoy, Stefan Haufe, "Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine". Frontiers in Psychiatry, 2024. DOI: 10.3389/fpsyt.2024.1376784

• Antonio Cerone, Markus Roggenbach, James Davenport, Casey Denner, Marie Farrell, Magne Haveraaen, Faron Moller, Philipp Körner, Sebastian Krings, Peter Csaba Ölveczky, Bernd-Holger Schlingloff, Nikolay Shilov, Rustam Zhumagambetov, "Rooting Formal Methods Within Higher Education Curricula for Computer Science and Software Engineering — A White Paper —". Communications in Computer and Information Science, 2021. DOI: 10.1007/978-3-030-71374-4_1

• Rustam Zhumagambetov, "Teaching Formal Methods in Academia: A Systematic Literature Review". Communications in Computer and Information Science, 2021. DOI: 10.1007/978-3-030-71374-4_12

• Rustam Zhumagambetov, Ferdinand Molnár, Vsevolod A. Peshkov, Siamac Fazli, "Transmol: repurposing a language model for molecular generation". RSC Advances, 2021. DOI: 10.1039/d1ra03086h

• Rustam Zhumagambetov, Daniyar Kazbek, Mansur Shakipov, Daulet Maksut, Vsevolod A. Peshkov, Siamac Fazli, "cheML.io: an online database of ML-generated molecules". RSC Advances, 2020. DOI: 10.1039/d0ra07820d

• Rustam Zhumagambetov, Mark Sterling, "Automated Theorem Proving in a Chat Environment". EasyChair Preprints, 2018. DOI: 10.29007/m9ms