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Dunja Vucenovic

Bioinformatics Scientist

Illumina Inc

Hello there, thanks for stopping by :)

I have recently obtained a PhD in bioinformatics from Imperial College London. During that time, I was Marie Curie Early stage Researcher at London Instutute of Medical Sciences where I investigated gene expression regulation during embryonic development in zebrafish.

To keep up with the current methods in Data Analysis and Genomics, I plan to do some smaller scale analysis projects that I will write about here.

Interests

  • Gene expression and regulatory networks
  • Embryonic development
  • Cancer genomics
  • Data analysis of big data

Education

  • PhD in Bioinformatics, 2020

    Imperial College London, UK

  • MSc in Molecular Biology, 2015

    Faculty of Science, University of Zagreb, Croatia

  • BSc in Molecular Biology, 2013

    Faculty of Science, University of Zagreb, Croatia

Skills

Data Visualization

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Statistics

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Research Design

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R

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Genomics

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Data Analysis

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Experience

 
 
 
 
 

Bioinformatics scientist

Illumina Inc

Apr 2019 – Present Cambridge, UK

Working in Medical Genomics group with Mark Ross and David Bentley

Principal research:

  • Integrating RNA-seq expression data with clinical cancer genome analysis
  • Benchmarking sensitivity of variant detection for targeted cancer panels and comparing their performance to cWGS
  • Developing a method for estimation of tumour content in a sample from transcriptome data
 
 
 
 
 

PhD student and Marie Curie Early stage Researcher

Imperial College London

Sep 2015 – Mar 2019 London, UK
  • Supervised by Boris Lenhard
  • PhD student aiming to understand spatio-temporal gene expression during zebrafish embryogenesis
  • Thorough reanalysis of of all publicly available mRNAin situhybridisation data from zebrafish development led us to develop Anatom-ical specificity coefficient that tells about relative size of anatomical structures
  • Elucidated the role of core promoters in regulation and gene function that is a foundation to PromoterOntology methodology
  • Integrating numerous NGS datasets (RNA-seq, CAGE, ChIP-seq, ATAC-seq and scRNA-seq) with goal to understand how multiple layersof gene regulation communicate together to create final gene expression profiles. This process is crucial for early embryonic devel-opment.
 
 
 
 
 

Master Thesis student

TwinsUK and King’s College London

Jan 2015 – Jun 2015 London, UK
  • Supervised by Frances Williams and Tim Spector
  • Developed linear mixed effect models for twin data design in analysis of complex disease - lower back pain.
  • Identified new glycomic biomarkers of back pain that could be used for early detection of disease

Accomplish­ments

Bartender and a coctail course

Applied Finance with R

Skill track consisting of following courses:

  • Bond Valuation and Analysis in R,
  • Introduction to Portfolio Analysis in R,
  • Intermediate Portfolio Analysis in R,
  • Financial Trading in R
See certificate

Recent Posts

Where can we find worlds best coffee?

To start off the series of posts on my website, I decided to have a look at coffee. While I really enjoy coffee, I am still trying to …

Hello There

The first post on the new website

Projects

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Data driven Food Atlas

Data driven analysis of food blogs to learn current and suggest new dishes.

Promoter Ontology

Project that provides workflow to find significantly enriched promoter features in a group of genes.

Contact