Robin Andersson, PhD – Principal Investigator

robin [at] | twitter: @robin_andersson | mastodon:
Google scholar | LinkedIn | ORCID ID: 0000-0003-1516-879X

Robin Andersson

Robin Andersson graduated as a Computer Scientist at Linköping University (Sweden, 2004), after which he obtained a PhD in Bioinformatics at Uppsala University (Sweden, 2010). He did a postdoc in the lab of Prof. Albin Sandelin at University of Copenhagen (Denmark), where he mainly focused on transcriptional regulation and enhancer transcription. In 2015, Robin received a European Research Council (ERC) starting grant, which was the starting point of the Andersson lab at the Section for Computational and RNA Biology, Dept. of Biology, University of Copenhagen (Denmark). In 2020 he became an Associate Professor of Bioinformatics.

Sarah Rennie, PhD – Assistant professor

sarah [at]

Sarah Rennie

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]

Nicolas Alcaraz

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] | 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]


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] | LinkedIn

Stylianos Bakoulis

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]

Hjorleifur Einarsson

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]


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.

Carlotta Porcelli – PhD student (joint with Peter Brodersen)

carlotta.porcelli [at]


Carlotta holds a Master’s degree in Bioinformatics from the University of Copenhagen, Denmark and a Bachelor’s degree in Computer Science with interdisciplinary course in Biotechnology from the University of Trento, Italy. Her work focuses on the m6A RNA modification and its implications in stem cells behaviour in Arabidopsis thaliana, with a particular interest for data integration.

Natsuda Navamajiti – PhD student

natsuda [at]


Natsuda graduated from Chulalongkorn University, Thailand with a Bachelor’s Degree in Biology and a Master’s degree in Biomedical Engineering (Bioinformatics). Her work focuses on characterizing the regulatory activities of enhancers and promoters in pediatric acute myeloid leukemia. Natsuda is part of the ENHPATHY Marie Sklodowska-Curie actions (MSCA) European Training Network.

Christian Dalager Vaagenso – Lab technician

Christian Vaagenso

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

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