Shayan Mostafaei

Shayan Mostafaei

Bioinformatician
Telephone: +46852482235
Visiting address: ,
Postal address: C8 Medicinsk epidemiologi och biostatistik, C8 MEB II Hägg, 171 77 Stockholm

About me

  • I'm a bioinformatician and my research interests are application of
    advanced statistical methods, Bayesian inference, causal inference,
    longitudinal, time-to-event and machine learning algorithms in
    computational biology, health, and medicine. I'm also interested in the
    statistical genetics and analyzing OMICs data as well as longitudinal data from national registry and surveys.
    Education:
    * PhD in Biostatistics and Bioinformatics, Tehran University of Medical Sciences, Tehran, Iran, 2018.
    Postdocs
    * Postdoc in Machine Learning, School of Electrical Engineering and Computer Science, Department of Intelligent Systems, Division of Information Science and Engineering, Royal Institute of Technology (KTH), Stockholm, Sweden, 2022.
    ** Postdoc in Dementia and Machine Learning, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden, 2023.

Research

  • Advanced Clustering, Regression and Classification Algorithms
    Statistical Learning for OMICs data
    Bioinformatics and Statistical Genetics
    Longitudinal Statistical Models for high-dimensional data
    Survival and Risk Modelling
    Bayesian and Network Meta-analysis for GWAS
    Biological Aging

Articles

All other publications

Grants

  • Aging and Diabetes: Unraveling the Interplay through Multi-Cohort Investigations
    KID - partial funding of doctoral education at Karolinska institutet 2024
    14 June 2024 - 14 June 2028
  • Predicting the risk of dementia based on multi-omics profiles and biological aging using generative machine-learning in two Swedish population-based cohorts and the UK Biobank
    Loo and Hans Osterman Foundation
    1 January 2024 - 31 December 2024
  • Explainable Machine Learning based Medication Repurposing for Dementia
    Industrial and Societal Partnership Program (ISPP)
    1 January 2024 - 31 December 2025
  • Personalized medicine to slow cognitive decline in dementia patients using individualized prognostic deep learning: Studies from the Swedish dementia registry
    Foundation for Geriatric Diseases at KI 2022
    1 October 2022
  • Causal inference using Dynamic Bayesian Networks to find medications related to slow cognitive decline in dementia: Studies from the Swedish Dementia Registry
    Loo and Hans Osterman Foundation 2022
    1 July 2022 - 1 July 2023

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