Robin Andersson, PhD – Principal Investigator
Robin Andersson received a PhD in Bioinformatics from Uppsala University, Sweden, and a MS in Computer Science from Linköping University, Sweden. He did a postdoc in the lab of Prof. Albin Sandelin at the University of Copenhagen, Denmark, where he mainly focused on transcriptional regulation and enhancer transcription. During these years, Robin has been highly involved in the FANTOM consortium. He is an Assistant Professor (tenure-track) of Bioinformatics at the Bioinformatics Centre, Section for Computational and RNA Biology, Dept. of Biology, University of Copenhagen, Denmark.
Sarah Rennie, PhD – postdoc
sarah [at] binf.ku.dk
Sarah Rennie received her PhD in Computational Biology from the University of Edinburgh, UK, and holds a Master’s degree in Biometry from the University of Reading, UK. Her work is focused on the statistical modelling of transcriptional regulation; deciphering the function, complexity and connectivity of enhancers and promoters in larger regulatory architectures.
Nicolas Alcaraz, PhD – postdoc
nalcaraz [at] binf.ku.dk
Nicolas Alcaraz received his PhD in Computational Biology from the University of Southern Denmark and holds a Master’s degree in Computer Science from Saarland University, Germany. His work is focused on applying machine learning methods and computational techniques to model transcriptional regulation, in particular to understand the impact of genetic variants on regulation.
Robert Krautz, PhD – postdoc
rkrautz [at] binf.ku.dk | twitter: @_rob_kr_
Robert Krautz obtained his PhD in Molecular Biology at Stockholm University, acquired a Diploma degree at the Julius-Maximilians University, Würzburg, and worked as a PostDoc at the Gurdon Institute in Cambridge, UK. His work revolves around identifying general patterns of transcriptional regulation during regeneration and induction of stress by using Drosophila as a model system.
Marco Salvatore, PhD – postdoc
masa [at] binf.ku.dk
Marco Salvatore received a PhD in Bioinformatics from Stockholm University, where he focused on the study of protein sorting and subcellular localisation using machine learning algorithms. He obtained a Master Degree in Bioinformatics from the University of Bologna (Alma Mater) and a Bachelor Degree in Biology from the University of L’Aquila. His work is focused on computational modelling of genetic variants and their impact on transcriptional regulation by using machine learning techniques.
Stylianos Bakoulis – PhD student
stylianos.bakoulis [at] bio.ku.dk | LinkedIn
Stylianos holds a Bachelor’s diploma in Biological Applications and Technologies from the University of Ioannina, Greece and a Master’s degree in Bioinformatics from the University of Copenhagen, Denmark. His work is focused on transcriptional enhancers, in particular on the biogenesis and metabolism of enhancer RNAs.
Hjorleifur “Hjolli” Einarsson – PhD student
hjolli [at] binf.ku.dk
Hjolli holds a Bachelor’s diploma in Molecular biology from the University of Iceland and a Master’s degree in Biochemistry from the University of Copenhagen. His work focuses on regulatory variation, in particular the effects of genetic variation on transcriptional regulatory activities.
Lucas van Duin – PhD student
lucas [at] binf.ku.dk
Lucas holds a Master’s degree in Molecular and Cellular Life Sciences and a Bachelor’s degree in Biomedical Sciences from the Utrecht University, the Netherlands. His work focuses on the relationship between chromatin architecture and gene expression.
Christian Dalager Vaagenso – Lab technician
Christian Dalager Vaagenso is a retired ice hockey professional and has work experience in the chemical industry. He is a lab technician at the Section for Computational and RNA Biology and is experienced in various lab techniques, including CAGE, PCR, qPCR, Western Blot, RACE and cloning.
Maria Dalby, PhD student 2015-2018. Currently postdoc at Lundbeck and Karolinska Institute.
Previous and current master students
- Enrique Goñi Echeverria (2018) – Deep learning of sequence-driven cell type specificity
- Michael Ben Ezra (2017) – Cell type deconvolution of tissue expression data
- Jamshed Pratap Singh Gill (2017) – Analysis of RNA-seq data of neural tissues in Rat model for human migraine
- Lucas van Duin (2017, Erasmus student) – Relationship between transcription and chromatin architecture
- Marcos Yebenes Majordomo (2017) – Development of RNA-seq pipeline for cancer expression profiling
- Clara Aguiar Lima (2016-2017) – Enhancer adoption in chromosome rearrangements