Description

I am a versatile bioinformatician with an interdisciplinary background in biology, informatics, physics, and data science. My work focuses on spatial transcriptomics/transcriptomics, NGS data analysis, statistical modeling, machine learning, AI applications, and pipeline development. I have experience building practical computational tools, developing analysis workflows, and solving complex biological data problems with a combination of scientific understanding and strong programming skills.

I am especially interested in using data science, machine learning, and AI to extract meaningful insights from complex biological datasets. My goal is to provide clear, reliable, and efficient computational solutions for research, biotech, and data-driven life science projects.

Industry field of expertise

Languages

Turkish
Native or bilingual
English
Fluent
German
Basic

Workplace preferences

Can work on-site

Langenfeld (up to 50km)

Resolve Biosciences
Bioinformatics Developer
BIOTECH
January 2023 - Today (3 years and 6 months)
Monheim am Rhein, Germany
Generating state of the art software and bioinformatics solutions for spatial transcriptomics data and procedure.
spatial transcriptomics software development Machine learning Data science image analysis
Universität zu Lübeck
Postdoc
BIOTECH
March 2020 - February 2023 (2 years and 11 months)
Lübeck, Germany
Pipeline generation and data analysis for a novel genomics project on early onset Alzheimer's disease to identify unknown DNA repeat sequences that takes part in related processes.
pipeline generation Python genomics Data analysis Big Data
Rudolf-Schonheimer Institut für Biochemie Universität Leipzig
Postdoc
MEDICAL
January 2017 - January 2018 (1 year)
Leipzig, Germany
Generating software for transcriptomics data analysis purposes mainly in the area of G-protein coupled receptors, offering tutorials on NGS technology and computational biology in general.
transcriptomics next generation sequencing Data analysis bioinformatics GPCRs