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Mian Haider Ali

Mian Haider Ali

Arbeitsbereiche

Early Stage Researcher at the Institute for Medical Information Processing, Biometry, and Epidemiology

Kontakt

Institute for Medical Information Processing, Biometry, and Epidemiology
Marchioninistraße 15
81377 München


Arbeitsgruppe

Prof. Mansmann

Project Title

Role of Clinical Trial Data Sharing for validation of prognostic and predictive models

Research Interest

In this MCSA funded project, I will explore the methodological aspects of how to validate prognostic and predictive models across various Clinical Trials Data Sharing (CTDS) platforms and work on solutions for gaps in the methodology. To gain a deeper understanding of the CTDS process, I will be visiting (for research) and working at Bayer Berlin, ECRIN Paris, and Yale University USA.

Research interests:
Biostatistics, Statistical Learning (prediction modelling), Machine Learning (supervised and unsupervised), Precision Medicine, Classical Statistical Modelling, Clinical Trails, Survival Data Analysis.

Supervisor(s)

Prof. Ulrich Mansmann

Curriculum Vitae

EDUCATION

since 2024 - PhD candidate Medical Research in Epidemiology & Public Health, IBE

MSc Applied Statistical Modelling and Health Informatics (2022.09 – 2023.09)
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London

MSc Statistics (2017.08 – 2019.09)
Department of Statistics, Abdul Wali Khan University Mardan

BSc (4 Years) Statistics (2011.09 – 2015.09)
Department of Statistics, University of Swat

 

WORK EXPERIENCE

Research Assistant (2022.10 – 2024.06)
Fair Modelling & TDA Lab, Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London

Statistician / Data Analyst (2017.04 – 2022.09)
Saidu Medical College, Saidu Teaching Hospitals, Saidu Sharif Swat Pakistan.

Publications

Salazar de Pablo, G., Iniesta, R., Bellato, A., Caye, A., Dobrosavljevic, M., Parlatini, V., ... & Cortese, S. (2024). Individualized prediction models in ADHD: a systematic review and meta-regression. Molecular Psychiatry, 1-9.

Ali, M. H., Khan, D. M., Jamal, K., Ahmad, Z., Manzoor, S., & Khan, Z. (2021). Prediction of Multidrug‐Resistant Tuberculosis Using Machine Learning Algorithms in SWAT, Pakistan. Journal of healthcare engineering, 2021(1), 2567080.