Data Champions Search

Florian Markowetz, PhD

Senior Group Leader

Cancer Research UK Cambridge Institute

Areas Of Expertise:

Big data, Discipline-specific repositories, Data analysis, Bioinformatics, Coding, R language, Git, Matlab, Data visualisation, Data mining, Machine learning, Statistical analysis, Experimental design, Imaging, Workshop delivery, Social media and digital communications

Contact Information

fm327@cam.ac.uk

@markowetzlab

ORCiD:

0000-0002-2784-5308

Biography

Florian Markowetz is a Senior Group Leader at the Cancer Research UK Cambridge Institute. He is a Royal Society Wolfson Research Merit Award holder and received a CRUK Future Leader in Cancer Research prize. He holds degrees in Mathematics (Dipl. math.) and Philosophy (M.A.) from the University of Heidelberg and a Dr. rer. nat. (PhD equivalent) in Computational Biology from Free University Berlin, for which he was awarded an Otto-Hahn Medal by the Max Planck Society. His group at the CRUK Cambridge Institute combines computational work on cancer evolution and image analysis of the tumour tissue with experimental work on understanding key cancer mechanisms like the estrogen receptor.

Jan Jezek, PhD

Postdoctoral Fellow, The Gurdon Institute

Areas Of Expertise:

C/C++/C# language, Java, Visual Basic, Data visualisation, Statistical analysis, Data collection, Imaging, Bioinformatics, Website development

Contact Information

jj508@cam.ac.uk

Biography

I am a postdoctoral fellow at The Gurdon Institute, University of Cambridge, UK. My research interests are mitochondrial and redox biology, cancer research, tumor suppressors, mitochondrial stress signaling, mitochondrial dynamics, reactive oxygen species, apoptosis, hypoxia, transcriptional cyclins, mitochondrial DNA inheritance, mitochondrial recombination, mitochondrial DNA polymerase gamma, cytochrome c oxidase, germline development, and Drosophila genetics.

Russell Hamilton, PhD

Bioinformatics Facility Manager

Centre for Trophoblast Research (PDN)

Senior Research Associate

Department of Genetics

Areas Of Expertise:

Bioinformatics, Coding, Python, R language, Git, SQL, Data visualisation, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Data archiving, Code sharing, Open data, Imaging, Website development