Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

E. Ravza Gur

Postdoctoral Computational Biologist

Single-cell genomics and machine learning for understanding gene regulation

I have dedicated my career to bioinformatics since 2015, with a particular focus on genomics and epigenomics over the past four years. During my doctoral studies, my research efforts were directed towards improving the resolution of scATAC-seq for the identification of Transcription Factor bound regions and the prioritization of non-coding genetics. I developed a mathematical methodology to enhance resolution in single-cell scATAC-seq and subsequently collaborated with researchers in the CCB to develop a user-friendly, dynamic, and interactive platform. This platform enables biologists to explore their high-dimensional single-cell epigenomics and genetics data effectively.

In 2023, I started a new position as a postdoctoral computational biologist in the Genome Biology Lab. I'll work with single-cell multiomic epigenetics and transcriptomics data to develop methods for analysis and use these as part of a team to develop, train and validate Deep Neural Network Machine Learning approaches.

The main objective of the project is to identify and understand non-coding genetic variations in the genome that are associated with human diseases using single-cell technologies and machine-learning techniques. This is an important area of research, as the non-coding regions of the genome play crucial roles in gene regulation and can contribute to disease development.

I am thrilled to be part of this exciting project to contribute to cutting-edge research in genomics, epigenetics, and machine learning, with the ultimate goal of understanding the role of non-coding genomes in common human diseases.

Additionally, for the past three years, I have dedicated my time as a volunteer scientist for the International Society for Computational Biology Student Council Regional Student Group in Turkiye (ISCB SC RSG-Turkiye) to promote and expand Bioinformatics in Turkiye for the last three years. Recently, in January 2023, I had the honour of being elected as the president of RSG-Turkiye for the year 2023. RSG-Turkiye is part of a global community that supports the development of computational biologists through various initiatives such as scientific events, networking opportunities, workshop programs, and educational resources. Our community aims to facilitate knowledge sharing and collaboration across institutions, both within Turkiye and internationally, to advance the goals of open science.