Hi, I am Ramy and I currently work as a Research Associate at the University of Cambridge (CSCI, UK). Propelled by my passion for science (biology in particular), I completed a PhD in Genomics and Bioinformatic in 2016. My project focused on the immune response to infection and its interaction with inflammation. During this time, I was also involved in processing clinical data obtained from thousands of patients being admitted for infection in intensive care.
I'm a microbiologist who has transitioned from wet to dry-lab science. I use the lens of bioinformatics to look at biological questions from the perspective and context of the data. I have worked at the interface of basic and translational research, and currently am using bioinformatics approaches to investigate the role of uncultured bacteria in the human gut, with the goal of understanding how the composition of the gut microbiome may influence the incidence of gut-related human diseases.
I am a PhD student in Clinical Neurosciences at University of Cambridge, working on developing a vascularized brain organoid/assembiod model for studying neurodegenerative diseases (eg., ALS/FTD) in Dr. Andras Lakatos' lab (Department of Clinical Neurosciences) and Professor Yan Yan Shery Huang's lab (Department of Engineering).
PhD-trained microbial geneticist with over 12 years of experience in computational biology, bio-statistics, and analysis of bioactive compounds. Advanced skill in R and BASH, meta-omics data analysis (meta-genomics and meta-transcriptomics) molecular evolution of proteins (Membrane protein, Enzymes, Scaffold protein). I have work experience in 4 different countries (India, Germany, the Czech Republic, and the UK) with colleagues from more than 15 nations.
My background is in Biological Sciences. I obtained my MSci at the University of Bristol. During my undergraduate degree, I became extremely interested in plant sciences and decided that I wanted to purse a PhD in plant/crop sciences.
Postdoctoral Researcher in the Moyroud Group at SLCU studying natural variation and EvoDevo of petal bullseye patterns in Hibiscus using a combination of genetics, genomics and field work.
