Imperial College London

Dr Joram M. Posma PhD MSc B AS MRSC

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Lecturer in Cancer Informatics
 
 
 
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Contact

 

j.posma11 Website

 
 
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Location

 

SAF101Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Summary

Lecturer in Cancer Informatics, and Health Data Research UK Fellow

Research interests (for software see research tab)

  • Multivariate statistics (metonyms: Chemometrics, Machine Learning, Pattern Recognition, Statistical Bioinformatics, ...),
  • with types of application such as Data Fusion, Robust Methods, Repeated LearningGraph TheoryMultivariate Image Analysis and Statistical Spectroscopy,
  • in areas of application that include Metabolic PhenotypingPrecision Nutrition, Molecular Epidemiology(Immersive) Data Visualization, Biological Networks and Computational Drug Discovery

current work

I am currently (02/2018 onwards) recipient of a 3-year Rutherford Fund Fellowship at HDR UK to work on my project titled "Identification of Metabolic Phenotypes and Systemic Biochemical Reaction Networks Associated with Human Blood Pressure". I am working with Prof Paul Elliott and Prof Jeremy Nicholson for this project in the department of Epidemiology and Biostatistics (School of Public Health) and the department of Metabolism, Digestion and Reproduction.

In addition, I hold a lectureship in cancer informatics in the Department of Metabolism, Digestion and Reproduction (previously in the Department of Surgery and Cancer) since 08/2018 to work on adaptive information recovery, robust data fusion and immersive data visualization of omics data, focusing on applications in cancer, as well as cardiometabolic diseases, and their interface with nutrition.

The integrated systems network of blood pressure

The integrated systems network of blood pressure


previous work

Previous (11/2014 to 02/2018) I was a postdoctoral Research Associate in the department of Surgery and Cancer (division of Computational and Systems Medicine) working under the guidance of Prof Jeremy Nicholson and Prof Elaine Holmes on novel data visualization approaches, data fusion of NMR, MS and 16S rRNA data, and various other projects (including personalized and precision nutrition, large population phenotyping studies and development of automated statistical spectroscopy tools). Before that a Research Assistant (10/2014) working on the same project.

My PhD (10/2011 to 09/2014) was funded by an MRC-PHE Centre for Environment & Health studentship jointly between the department of Surgery and Cancer (division of Computational and Systems Medicine) and department of Epidemiology and Biostatistics. I was supervised by Prof Jeremy Nicholson and Prof Paul Elliott and working within the INTERMAP study on my PhD thesis titled Novel Statistical and BioinformaticTools for Identifying Predictive Metabolic Biomarkers in Molecular Epidemiology Studies. I passed my PhD viva on the 7th of October 2014 and was awarded the PhD on November 1st 2014.

Selected Publications

Journal Articles

Posma JM, Garcia Perez I, Ebbels TMD, et al., 2018, Optimized phenotypic biomarker discovery and confounder elimination via covariate-adjusted projection to latent structures from metabolic spectroscopy data, Journal of Proteome Research, Vol:17, ISSN:1535-3893, Pages:1586-1595

Posma JM, Garcia Perez I, Heaton JC, et al., 2017, An integrated analytical and statistical two-dimensional spectroscopy strategy for metabolite identification: application to dietary biomarkers, Analytical Chemistry, Vol:89, ISSN:1086-4377, Pages:3300-3309

Garcia Perez I, Posma JM, Gibson R, et al., 2017, Objective assessment of dietary patterns using metabolic phenotyping: a randomized, controlled, crossover trial, The Lancet Diabetes & Endocrinology, Vol:5, ISSN:2213-8587, Pages:184-195

Elliott P, Posma JM, Chan Q, et al., 2015, Urinary metabolic signatures of human adiposity, Science Translational Medicine, Vol:7, ISSN:1946-6234

Posma JM, Robinette SL, Holmes E, et al., 2013, MetaboNetworks, an interactive Matlab-based toolbox for creating, customizing and exploring sub-networks from KEGG, Bioinformatics

Posma JM, Garcia-Perez I, De Iorio M, et al., 2012, Subset Optimization by Reference Matching (STORM): An optimized statistical approach for recovery of metabolic biomarker structural information from ¹H NMR spectra of biofluids, Analytical Chemistry, Vol:84, ISSN:0003-2700, Pages:10694-10701

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