Resume

Experience

2018 - Current
Imperial College London

Bioinformatician Research Associate

Cancer Bioinformatician in Gynaecological cancers with specialities in the following areas:

Computational-omics: Development and execution of both customised and automated data analysis pipelines for various flavours of omics data such as genomics, transcriptomics, epigenomics etc for multiple in-house and collaborative projects.

Data Integration and Statistical Analysis: Development and implementation of data integration techniques to overlap omics data variables, dimensionality reduction, plots and graph generation, and statistical analyses from basic t-tests to logistic regression, random forests, decision trees etc.

Data Mining and Validation: Vast experience with publicly available datasets from relevant domains such as PCAWG, TCGA, 1000 Genomes, CCLE, EGA, COSMIC, cBioPortal, PanCaner Atlas, PCAWG etc.

Collaboration and Scientific Writing: Experience of working in interdisciplinary teams ocomprising esteemed clinicians, excellent laboratory scientists, and academics. Contribution towards journal manuscripts, scientific reports, and grants.

2013 - 2018
Breast Cancer Now Research Unit, King's College London

Scientific Programmer

  • Multi-omics data pipelines and analyses.
  • Scientific programming for various translational hypotheses.
  • TARGETID 
  • Computational resource management (Virtual Private Server, Cloud Storage, Wiki-server)
2010 - 2013
Centre for Advanced Studies in Telecommunication (CAST) - CIIT

Research Associate (Bioinformatics)

Health Care Computing Group: Worked as a dedicated team member to bridge the gap between physicists/engineers and biologists for effective application of computing and modelling techniques to intriguing medical and biological applications.

2008-2010 (Including gaps)
COMSATS Institute of Information Technology (CIIT)

Research Associate Bioinformatics

Education

2008-2010
King's College London

MSc Bioinformatics

Dissertation: Network Clustering through Modularity Optimisation.

2003-2007
COMSATS Institute of Information Technology (CIIT)

BS Bioinformatics

Areas of Multi-omics Expertise

Whole Genome Sequencing (WGS)

95%

RNAseq

95%

Targetted Sequencing (Amplicons, Exome, TAMseq)

70%

ChIPseq and ATACseq

75%

DNA/RNA/ChIP Microarrays and Nanostring

90%

Single-cell RNAseq

75%

Coding Skills

R-programming and Shiny

90%

Bash scripting

80%

Python

60%

Perl

60%

HTML, WordPress

75%

MySQL, PostgreSQL

65%