Biostatistics Initiative Lead
Job Role
Martin is responsible for the development, delivery and coordination of the biostatistics curriculum.
Hours
Monday to Friday, office hours.
Biography
Originally trained as a mechanical engineer, he worked as a diving instructor in Egypt for several years, where he developed his joy for teaching. He did his PhD and several years of post-doctoral research at the Sainsbury laboratory in Cambridge, working as a plant geneticist. There he developed his interest in biostatistics, reproducible research and data visualisation, which he is now putting to use across the courses offered by the Facility.
Publications
The activation of Arabidopsis axillary buds involves a switch from slow to rapid committed outgrowth regulated by auxin and strigolactone
- 242(3)
CONTRIBUTORS: Zoe Nahas, Fabrizio Ticchiarelli, Martin van Rongen, Jean Dillon, Ottoline Leyser
Callose accumulation in specific phloem cell types reduces axillary bud growth in Arabidopsis thaliana
New Phytologist
2021-07-16 | Journal article
DOI: 10.1111/nph.17398
CONTRIBUTORS: Andrea Paterlini; Delfi Dorussen; Franziska Fichtner; Martin Rongen; Ruth Delacruz; Ana Vojnović; Yrjö Helariutta; Ottoline Leyser
Callose accumulation in specific phloem cell types reduces axillary bud growth in Arabidopsis thaliana.
Apollo - University of Cambridge Repository
2021-04-23 | Journal article
DOI: 10.17863/cam.68640
CONTRIBUTORS: Dr Andrea Paterlini; Delfi Dorussen; Franziska Fichtner; Martin van Rongen; Ruth Delacruz; Ana Vojnović; Yrjo Helariutta; Ottoline Leyser
Blocking plasmodesmata in specific phloem cell types reduces axillary bud growth in Arabidopsis thaliana
2020-12-29 | Other
DOI: 10.1101/2020.12.28.424434
CONTRIBUTORS: Andrea Paterlini; Delfi Dorussen; Franziska Fichtner; Martin van Rongen; Ruth Delacruz; Ana Vojnović; Yrjö Helariutta; Ottoline Leyser
Network trade-offs and homeostasis in Arabidopsis shoot architectures.
PLoS computational biology
2019-09-11 | Journal article
DOI: 10.1371/journal.pcbi.1007325
PMID: 31509526
Connective auxin transport contributes to strigolactone-mediated shoot branching control independent of the transcription factor BRC1
PLOS Genetics
2019-03-13 | Journal article
DOI: 10.1371/journal.pgen.1008023
CONTRIBUTORS: Martin van Rongen; Sarah Hake; Tom Bennett; Fabrizio Ticchiarelli; Ottoline Leyser
Connective auxin transport contributes to strigolactone-mediated shoot branching control independent of the transcription factor BRC1
Apollo - University of Cambridge Repository
2019-03-06 | Journal article
DOI: 10.17863/cam.37479
CONTRIBUTORS: Henrietta Miriam Ottoline Leyser; Martin van Rongen; Tom Bennett; Fabrizio Ticchiarelli
Research data supporting "Connective auxin transport contributes to strigolactone-mediated shoot branching control independent of BRC1"
Apollo - University of Cambridge Repository
2019-02-25 | Data set
DOI: 10.17863/cam.36668
CONTRIBUTORS: Martin van Rongen; Tom Bennett; Fabrizio Ticchiarelli; Henrietta Leyser
The role of auxin transport in the control of shoot branching
Apollo - University of Cambridge Repository
2018-01-16 | Dissertation/Thesis
DOI: 10.17863/cam.17580
CONTRIBUTORS: Martin van Rongen
An INDEHISCENT-Controlled Auxin Response Specifies the Separation Layer in Early Arabidopsis Fruit
Molecular Plant
2016-06 | Journal article
DOI: 10.1016/j.molp.2016.03.005
Part of ISSN: 1674-2052
CONTRIBUTORS: Kasper van Gelderen; Martin van Rongen; An’an Liu; Anne Otten; Remko Offringa
Connective Auxin Transport in the Shoot Facilitates Communication between Shoot Apices
PLOS Biology
2016-04 | Journal article
Teaching and Supervisions
2024/2025:
- Core Statistics in R - Training Lead
- Experimental design for statistical analysis - Training Lead
- Linear mixed effects models - Trainer
- Generalised linear models - Training Lead
2023/2024:
- Core Statistics in R - Training Lead
- Experimental design for statistical analysis - Training Lead
- Data Visualisation - Training Lead
- Linear mixed effects models - Trainer
- Generalised linear models - Training Lead
2022/2023:
- Introduction to Unix and bash - Training Lead, Trainer
- High Performance Computing: An Introduction - Training Lead, Trainer
- Core Statistics in R - Training Lead, Trainer
- Core Statistics in Python - Training Lead, Trainer
- Advanced Statistics in R - Training Lead
- Advanced Statistics in Python - Training Lead
- Reproducible Research in Python - Training Lead
- Introduction to R - Training Lead
- Data Visualisation - Training Lead
- Experimental Design - Training Lead
- Fundamentals of Programming in R - Training Lead
- Experimental design for statistical analysis - Training Lead
2021/2022:
- Core Statistics in R - Training Lead, Trainer
- Generalised Linear Models using R, Training Lead, Trainer
- Advanced Statistics - Training Lead
- Reproducible Research - Training Lead
- Introduction to R - Training Lead
- Introduction to Python - Training Lead
- Introduction to Unix and bash - Training Lead, Trainer
- High Performance Computing: An Introduction - Training Lead, Trainer
2020/2021:
- Core Statistics in R - Training Lead, Trainer
- Introduction to R - Training Lead
2019/2020:
- Reproducible Research - Training Lead
- Introduction to R - Training Lead
2018/2019:
- Data Manipulation and Visualisation in R - Training Lead, Trainer
- Data Carpentry in R - Training Lead, Trainer
- Introduction to R - Training Lead
