• Yasamin Salimi
    • PhD student (Sep 2020 - Sep 2023)
      • Evaluation of the ATN framework for AD diagnosis (Paper)
      • Alzheimer's disease data platform (Paper)
    • Master student (Jan 2020 - Aug 2020)
      • Comparison of AD progression patterns (Paper)
    • Research assistant (Aug 2019 - Jan 2020)
      • Evaluation and comparison of AD datasets (Paper)

  • Sepehr Golriz-Khatami
    • PhD student (Mar 2021 - Apr 2022)
      • Comparison of event-based AD progression (Paper)

  • Philipp Wendland
    • Master student (Mar 2020 - Nov 2021)
      • New generative model for time-continuous synthetic patient data (Paper)

  • Ilya Yalchyk
    • Master student (Jun 2021 - Dec 2021)
      • Transfer learning across different clinical AD datasets
    • Research assistant (Oct 2020 - Jun 2021)
      • Longitudinal clustering of AD patient trajectories (Preprint, Manuscript submitted)
      • Packaging an autoencoder-based model for time-series clustering (GitHub)

  • Christina Braun
    • Master student (Apr 2021 - May 2022)
      • Hybrid AI fusing Neural ODEs with published mechanistic models to predict COVID-19 cases

  • Emtazul Haque
    • Student intern (Oct 2021 - Feb 2022)
      • Solving inverse problems using neural networks