Imperial College London

DrNazaninZounemat Kermani

Faculty of EngineeringDepartment of Computing

Research Associate
 
 
 
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Contact

 

n.kermani

 
 
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Location

 

William Penney LaboratorySouth Kensington Campus

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Summary

 

Summary

Dr Kermani obtained an MSc in Multimedia & Intelligent Systems from the University of Amsterdam and later a PhD in Biomedicine from Imperial College London on Data Mining for Systems Medicine and Spectroscopic Profiling. Her PhD supervisors were Professor Zoltan Takats, Professor Yike Guo and Professor Jeremy Nicholson.

 She performed postdoctoral training at Data Science Institute and National Heart & Lung Institute.  Where she implemented machine learning methods for the integration of multi-omics datasets for the endotyping of respiratory diseases. She also developed a data management platform for RASP-UK. RASP-UK is a Consortium that brings together clinical and academic excellence from UK Universities and Pharmaceutical Industry to tackle refractory asthma.

She is working on federated machine learning for health data within PIONEER. PIONEER is an Innovative Medicine Initiative (IMI) funded project to tackle prostate cancer using big data.

 

She has authored and co-authored over 20 scientific articles. She is a member of the U-BIOPRED consortium, where she applies machine learning and systems medicine to one of the largest severe asthma cohorts in Europe to unravel severe asthma mechanisms that are funded through the Innovative Medicine Initiative of the European Union and EFPIA.

Publications

Journals

Asamoah K, Chung K, Bodinier B, et al., 2024, Proteomic signatures of eosinophilic and neutrophilic asthma from serum and sputum, Ebiomedicine, Vol:99, ISSN:2352-3964

Li C-X, Chen H, Zounemat-Kermani N, et al., 2024, Consensus clustering with missing labels (ccml): a consensus clustering tool for multi-omics integrative prediction in cohorts with unequal sample coverage, Briefings in Bioinformatics, Vol:25, ISSN:1467-5463

Russell B, Beyer K, Lawlor A, et al., 2024, Survivorship Data in Prostate Cancer: Where Are We and Where Do We Need To Be?, Eur Urol Open Sci, Vol:59, Pages:27-29

Versi A, Ivan FX, Abdel-Aziz MI, et al., 2023, Haemophilus influenzae and Moraxella catarrhalis in sputum of severe asthma with inflammasome and neutrophil activation, Allergy, Vol:78, ISSN:0105-4538, Pages:2906-2920

Yasinska V, Gomez C, Kolmert J, et al., 2023, Low levels of endogenous anabolic androgenic steroids in females with severe asthma taking corticosteroids, Erj Open Research, Vol:9, ISSN:2312-0541

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