Summary
Göknur Giner is a senior postdoctoral bioinformatician with 10 years’ experience applying statistics and machine learning to genomics, currently leading computational CRISPR genomics efforts at the Walter and Eliza Hall Institute. Her work spans RNA-Seq, WES, CRISPR/Cas9 and single-cell assays, with a focus on unraveling the origins of aggressive breast cancers and mechanisms of metastasis. Trained to PhD level in applied mathematics and statistics, she builds and validates analytical methods that bridge experimental and computational teams. Beyond the lab, she co-founded R-Ladies Melbourne to grow diversity in the R community and completed leadership training through the veski inspiring women program, reflecting a commitment to mentorship and inclusive science. An uncommon strength is her combined deep statistical theory background and hands-on experience with patient-derived xenografts and circulating tumor cell experiments, enabling rigorous, biologically grounded analyses.
10 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Statistics, Bachelor's degree, Statistics at Dokuz Eylül Üniversitesi
Master of Science (M.Sc.), Operations Research, Master of Science (M.Sc.), Operations Research at Marmara Üniversitesi
Doctor of Philosophy (Ph.D.), Applied Mathematics and Statistics, Overall GPA 93/100, Doctor of Philosophy (Ph.D.), Applied Mathematics and Statistics, Overall GPA 93/100 at İzmir Ekonomi Üniversitesi
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at Ege Üniversitesi
English, Turkish