Science

Healthcare data scientist

Since November 2016 I’ve been working at IQVIA as a healthcare data scientist, leveraging the world’s largest proprietary EHR database, advanced machine learning models and distributed computing frameworks to build cutting edge patient detection systems that facilitate precision medicine and automated medical diagnosis making on the population level.

As a visiting researcher at Imperial College London I continue to maintain and support the CorrMapper web-service and finish various publications about this project.


PhD in data integration and visualisation

I graduated from the Imperial’s STRATiGRAD programme with a PhD in Bioinformatics in September 2017.

My thesis was entitled “Integration and visualization of clinical-metabolic datasets for medical-decision making” and can be read here. The main two projects of my PhD were:

CorrMapper (in preparation for publication). Source code.

ScienceFlask (submitted to Bioinformatics). Source code.

 

imperial

MSc in Bioinformatics and Theoretical System Biology

I graduated with distinction from Imperial College London, in September 2012.

In my final project, I developed a novel tool for the normalisation of 16S rRNA gene copy numbers by utilizing various evolutionary models and phylogenetic reconstruction techniques. The software also provides advanced visualisation of OTU (Operational Taxonomic Unit) tables combined with phylogenetic tree and patient metadata. This work is in preparation for publication: “Tool development for 16S rRNA gene copy number normalisation and visualization“.

While working at the National Heart & Lung Institute, Imperial College London, my code was used in the analysis of patients suffering from Chronic Obstructive Pulmonary Disease.

Molyneaux PL, Mallia P, Cox MJ, Footitt J, Willis-Owen S, Homola D et al. (2013). Outgrowth of the Bacterial Airway Microbiome after Rhinovirus Exacerbation of Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. doi: 10.1164/rccm.201302-0341OC, Pubmed

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