I am a John Innes Foundation-funded PhD student in Prof. Anthony Hall’s group at the Earlham Institute. 

My PhD project is focused on uncovering the genetic basis of gene expression in elite wheat varieties underlying key agronomic traits.

I hold a BSc in Crop Production and Protection from Obafemi Awolowo University, where I worked on developing maize hybrids, and an MPhil in Seed Science and Technology from WACCI, University of Ghana, focused on evaluating soybean genotypes.

I later completed an MSc in Global Plant Health at The Sainsbury Laboratory (TSL), working in Jonathan Jones’ group on stacking resistance genes against tomato brown rugose fruit virus (ToBRFV). 

Prior to commencing my PhD, I joined Dan MacLean’s Bioinformatics team at TSL as a predoctoral intern, where I developed machine learning models for effector prediction.

Haitao is a visiting PhD student at the Earlham Institute working within Chris Quince’s group.

His doctoral research focused on computational methods related to metagenomics.

Prior to starting at the Earlham Institute, Haitao was a Ph.D. student at the Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Fudan University.

I am an NRPDTP PhD student at the Earlham Institute, working in the Haerty Group. My project, “The message in the noise: characterisation and quantification of noise in alternative splicing using long-read sequencing,” is funded by UKRI Biotechnology and Biological Sciences Research Council (BBSRC). 

My research focuses on understanding how variability in alternative splicing contributes to gene regulation and cellular complexity.

Before starting my PhD, I worked as a Bioinformatician at Sitryx Therapeutics, a company focused on regulating cell metabolism to develop disease-modifying therapeutics for chronic autoimmune and inflammatory diseases. 

In this role, I analysed microarray and Illumina bulk RNA-seq datasets for autoimmune conditions, including Asthma and Atopic Dermatitis, and contributed to building an internal database to support research and discovery efforts.

Prior to this, I completed a highly competitive one-year industrial placement at MSD, where I gained hands-on experience in bioinformatics, neuroscience, and R&D. During my placement, I developed a comprehensive bioinformatics pipeline to support biomarker discovery efforts.

I am working as part of the EU Horizon / Innovate UK funded project "Next Generation Tools for Genome-Centric Multimodal Data Integration in Personalised Medicine". 

My work focuses on developing machine learning applications to investigate the implications of genetic variation within noncoding functional elements in relation to cardiovascular disorders.

I did my PhD in computational biology at the John Innes Centre, where I worked on gene regulatory networks controlling flowering time in a polyploid plant, Brassica napus. 

My broad research interest is using mathematical and computational techniques to understand biological systems.

I am a John Innes Foundation PhD student in the Guiziou Group, where I work on the engineering of soil bacteria (mainly Pseudomonas) capable of detecting and recording soil health using synthetic biology technologies.

My project aims to develop sentinel bacteria that can convert environmental signals into genetic memory, providing new tools to better understand and monitor soil dynamics.

Before starting my PhD, I obtained a Master’s degree in Plant Sciences from Université Paris-Saclay, during which I completed two research internships that allowed me to become familiar with the research environment and gain solid experience in molecular biology and plant-microbe interactions.