Doctoral Researcher in Genomic Epidemiology
German Cancer Research Center (DKFZ) · Heidelberg University

Personal Website • GitHub • Email • Twitter

I am a genetic epidemiologist and doctoral researcher studying inherited genetic susceptibility to cancer and complex traits.

My work brings together genome-wide association studies, bioinformatics, machine learning, and large-scale epidemiologic data to investigate cancer risk, prognosis, prevention, and clinical outcomes.

I am pursuing a Ph.D. in Genomic Epidemiology at Heidelberg University and the German Cancer Research Center (DKFZ), with an academic background in Molecular Biology and Genetics.

• Cancer and genomic epidemiology
• Human genetics and inherited disease susceptibility
• Genome-wide association studies
• Electronic health record–linked genetic data
• Cancer risk, prognosis, and prevention
• Complex traits and pharmacogenomics
• Machine learning and computational biology
• Reproducible phenotype and cohort development

I am currently combining electronic health records (EHRs) with genetic data to understand:

• inherited susceptibility to cancer;
• genetic factors influencing prognosis and clinical outcomes;
• relationships between genetic variation and drug response;
• how genomic data can inform epidemiologic and clinical research.

My previous and ongoing work includes cancer susceptibility GWAS, lymphoid neoplasm classification, pancreatic cancer risk, complex disease genetics, and molecular evolution and systematics.

• Programming: R, Python, Bash
• Research: GWAS, genetic epidemiology, statistical genetics
• Data: Genomic, epidemiologic, biobank, and EHR-linked datasets
• Methods: Data analysis, phenotype development, machine learning, and reproducible workflows

A standardized cancer phenotype framework for reproducible cohort design in biobanks.

A standardized lymphoid neoplasm classification framework integrating the InterLymph hierarchy and clinical vocabulary mappings.

A practical tutorial for genome-wide association study workflows in cancer research.

Research projects involving lymphoid neoplasms, pancreatic cancer, cancer susceptibility, and other complex human traits.

➡️ Explore my repositories

• InterLymph Consortium
• AVE Alliance
• International Genetic Epidemiology Society
• European Hematology Association

I am open to collaborations, research inquiries, and discussions related to genomic epidemiology, cancer genetics, bioinformatics, and computational genomics.

• DKFZ: murat.guler@dkfz.de
• Personal: muratgmbg@gmail.com
• Website: biomguler.github.io
• Twitter: @muratguler0123