Team > Saber Jelodari Mamaghani, M.Sc.

Faculty of Mathematics, Physics & Computer Science
Chair of Machine Learning in Medicine

Research Field

• Machine Learning for Biomedical Time Series Data
• Large Language Model Applications in Healthcare and Clinical Research
• Clinical Natural Language Processing and Medical Text Mining
• AI Agents for Medical Decision Support and Clinical Insights

Academic CV

Experience

• Jan 2025 – Current Research Asisstant 
  Chair of Machine Learning in Medicine, University of Bayreuth
• Nov – Dec 2024 Data Manager
  Uniklinik Freiburg
• June 2021 – Sep 2024 Data Analyst (Working Student)
  Siemens Healthineers AG
• Dec 2020 – June 2021 Data Automation (Working Student)
  Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Education

• 2025 Oxford ML Summer school: Representative Learning 
• 2022 ETH Summer school: Medical Imaging 
• 2020 – 2024 M.Sc. Medical Engineering (Health and Medical Data Processing)
  Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) 
• 2014 – 2019 B.Sc. Biomedical Engineering
  ​IAU Tabriz 

Awards

• Deutschlandstipendium 2023:
  Ranking 24th out of 150 winners among all Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) students.
• Deutschlandstipendium 2022:
  Ranking 45th out of 150 winners among all Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) students. 
• Deutschlandstipendium 2021:
  Ranking 123rd out of 180 winners among all Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) students. 

Supervised Student Theses/Projects

• SS 2025, Eldar Magemedov: Contextual Highlight Extraction and Medical Knowledge Modeling for Learning Enhancement (Large Master Project)
• SS 2025, Adam Bokun: Deep Learning Framework for Chagas Disease Detection from 12‑Lead ECGs (Large Master Project)

Faculty of Mathematics, Physics & Computer Science
Chair of Machine Learning in Medicine

Saber Jelodari Mamaghani, M.Sc.
Research Assistant

Room: 1.2.28
Nürnberger Str. 38
95448 Bayreuth, Deutschland
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E-mail: saber.jelodari@uni-bayreuth.de