Dr Daniel Roden

Research Officer

I have a background in chemistry, computing and bioinformatics.  For my undergraduate studies I was awarded a Masters degree in Chemistry, from the University of Sheffield, during which time I developed a keen interest in physical chemistry and molecular simulation. After graduating (with 1st class hons) I spent a year researching the use of semi-conductors in interface characterisation and biosensors. 

After this, I moved to London where I worked as an information technology consultant before studying for a Masters degree in computer science at UCL (University College London).  I then returned to UCL to study for a PhD in bioinformatics in the lab of Prof David Jones.  My PhD research was focused on developing automated methods for the prediction of protein function using phylogenetic and machine learning techniques. 

In 2011 I moved to the Garvan Institute to take up a postdoctoral bioinformatics research position developing computational gene regulatory models for the role of transcription factors in breast development and cancer. 

Research Interests

Bioinformatics and Computational Biology
Gene Regulatory Networks
Transcription factors
Breast cancer
Protein function and structure prediction
Machine learning
Computational molecular modelling

In the News

Garvan gets behind Movember - Nov 05, 2015

Education

2011 – PhD (Bioinformatics), University College London (UCL) – UK
2003 – MSc (Distinction) Computer Science, University College London (UCL) – UK
1999 – MPhil Physical Chemistry, University of Sheffield – UK
1998 – MChem (1st class honours), University of Sheffield – UK

Selected Publications

Roden, D. L., Sewell G.W., Lobley, A., Levine, A.P., Smith, A.M., Segal, A.W. (2013) ZODET: Software for the Identification, Analysis and Visualisation of Outlier Genes in Microarray Expression Data; PLoS ONE (in press)

Nair, R., Roden, D. L., Teo, W. S., McFarland, A., Junankar, S., Ye, S., … Swarbrick, A. (2013). c-Myc and Her2 cooperate to drive a stem-like phenotype with poor prognosis in breast cancer. Oncogene. doi:10.1038/onc.2013.368

Kalyuga, M., Gallego-Ortega, D., Lee, H. J., Roden, D. L., Cowley, M. J., Caldon, C. E., … Ormandy, C. J. (2012). ELF5 Suppresses Estrogen Sensitivity and Underpins the Acquisition of Antiestrogen Resistance in Luminal Breast Cancer. (N. Hynes, Ed.) PLoS Biology, 2012;10(12): e1001461.

Moritz, W., Gerhardt, I., Roden, D, Xu, M., Krause, S. Photocurrent measurements for laterally resolved interface characterisation. Fresenius Journal of Analytical Chemistry, 2000; 367; 329-333

Dr Daniel Roden