Wytynck Pieter

Wytynck Pieter - Postdoctoral fellow
Joined the group in 2022

I studied Bioscience Engineering at the university of Ghent focusing on Cell and Gene Biotechnology. After obtaining my masters, I did a PhD on improving the abiotic stress tolerance in crop species. Subsequently, I worked for 2,5 years at Biogazelle which is a Contract Research Organization (CRO) specializing in DNA- and RNA-based applications to support pharmaceutical research, clinical trials and diagnostic test development. As a scientist I provided scientific guidance to ongoing projects and R&D activities. Currently, I work as a postdoctoral researcher on the use of AI/Machine Learning in plant breeding on the BREEDIT project.

Çelik Büşra

Çelik Büşra - Predoctoral fellow
Joined the group in 2022

Büşra is interested in biological sciences. After obtaining her Bachelor’s degree at Boğaziçi University in Istanbul, she continued her studies in Belgium and finished a Master’s degree in molecular biology at Vrije Universiteit Brussel (VUB). During her studies, she discovered her passion about plant growth and decided further studying on plants. Her master thesis was based on a growth-promoting cytochrome P450 78A in maize and following that she started her PhD project at PSB. Currently, she is focusing on unraveling the enzymatic reaction and transcriptional regulation of this cytochrome P450 78A and working at the automated phenotyping platform Phenovision.

Lorenzo Christian

Lorenzo Christian - Postdoctoral fellow
Joined the group in 2019

PSB - Systems biology of Yield

I am a senior Argentinian postdoctoral researcher in the lab of Profs. Dirk Inzé and Hilde Nelissen at the VIB Ugent Center for Plant Systems Biology (PSB) in Belgium. My primary research interest lies in the study of how gene networks shape plant physiological responses and how this information can be translated into trait improvements in maize. I earned a PhD in biological sciences from the University of Buenos Aires (UBA) and did my thesis under the supervision of Prof. Pablo Cerdán in Fundación Instituto Leloir (Buenos Aires). During my PhD i studied the conservation of flowering mechanisms between Arabidopsis thaliana and the forage crop Medicago sativa (alfalfa) in order to improve its biomass quality. I later did a first postdoc in Prof. Marcelo Yanovsky’s lab where i studied the shade avoidance responses of soybean and alfalfa, aiming to create improved yielding varieties suited for high-density cultivation. Presently i work in BREEDIT, a multidisciplinary ERC funded project combining both gene editing and classical breeding aspects in maize with the objective of improving yield and drought resistance in this crop.

Villers Timothy

Villers Timothy - Predoctoral fellow
Joined the group in 2019

Timothy has a keen interest in space and biology. After having worked as a student in the Research and Development department of Colruyt Group on Vertical farming technology and hydroponics, his ambition to get further into academics grew. In 2020, he graduated as Master of Science in Biology at Ghent University. Following his master thesis, which focused on the a growth-promoting cytochrome P450 78A, he obtained an FWO-grant for a project that builds further on the same topic. His project focuses on unraveling the reaction catalyzed by CYP78A and clarifying its regulatory network, with the aim to acquire knowledge that can lead to the development of applications with beneficial effects on many agricultural crops in a non-GMO manner (e.g. a biostimulant). The project will function as a stepping stone for his future goals, which involve conducting biological research in the context of space.

Sanches Matilde

Sanches Matilde - Predoctoral fellow
Joined the group in 2023

Matilde Sanches graduated in 2017 as master of Biodiversity and Plant Biotechnology at University of Coimbra, Portugal. During her master thesis, under the guidance of Prof. Jorge Canhoto, she studied developmental epigenetics throughout somatic embryogenesis of tamarillo plant (Solanum betaceum, Cav.), performing experiments and developing skills (particularly immunofluorescence microscopy) at Pilar S. Testillano's lab in CIB-CSIC, Madrid, Spain. After a one-year experience as Project Developer - DIVA project (H2020) and SKAN Platform activities - at INOVISA (Lisbon, Portugal) and at the Centre for Investigation and Transference of Technology to Community Development (CITT - Maputo, Mozambique), she enrolled in the Plants for Life Doctoral Program in 2019, from ITQB NOVA (Lisbon, Portugal). During her PhD project, focussing on the study of quantitative genetics and mechanisms behind water stress tolerance in grass pea (Lathyrus sativus), she had the opportunity to foster a collaboration between Dr. Carlota Vaz Patto's lab (PlantX group, ITQB NOVA, Oeiras, Portugal) and Prof. Frank Van Breusegem'lab (Oxidative Stress Signalling group, PSB-VIB, Ghent, Belgium). Her main scientific interests are I&D in the agronomic sector, particularly stress resilience in plants, the genetics and epigenetics underlying it; and more important, the potential applications of that field of knowledge in crop improvement and breeding programs, with a particular fondness for orphan crops. More recent (but obviously related) passions are statistics, experimental design and data science, and it was in that framework that she recently joint Hilde Nelissen's Systems Biology of Yield group at PSV-VIB (Ghent, Belgium).

VIB launches new Agtech spin-off Rainbow Crops to develop climate-resilient crop varieties

VIB proudly announces the launch of its latest spin-off, Rainbow Crops, a next-generation Agtech company focused on engineering complex, high-value agronomic traits that have long been difficult to address. Through an AI-powered technology platform that combines multiplex genome editing and precision breeding, Rainbow Crops develops crop varieties that are both climate resilient and optimized for yield and other key traits. The company is backed by a strong syndicate of early-stage investors, including Agri Investment Fund (AIF), PINC (the venture capital arm of Paulig Group), Qbic and VIB.

Computational analyses

Due to the highly dynamic nature of growth, data gathered through molecular analyses and high-throughput phenotyping often require custom developed software to fully capture the underlying biology. Therefore, we apply statistical techniques and machine learning approaches to link genomic and transcriptomic data to phenotypical data, to identify enhancers that drive growth-related genes and to identify spatial and temporal gradients.