Ozan Kiratli is a bioinformatician and evolutionary biologist with over a decade of research and software experience, currently a postdoctoral fellow at Walter Reed focused on genomic drivers of dengue antigenic change. He combines deep domain knowledge in evolutionary theory and statistics with hands-on expertise in R, Python, C++, Linux clusters, and modern ML frameworks (Keras/TensorFlow), having implemented novel pipelines and deep-learning models for viral genomics. Ozan has a strong track record of designing and running large-scale experiments, mentoring trainees, and turning complex genomic datasets into compelling visual narratives. Equally comfortable in command-line toolchains and high-level model development, he is actively extending his toolkit into PyTorch, NLP, and LLMs to probe biological questions. Colleagues describe him as adaptable, meticulous, and collaborative—driven by intellectually challenging problems that connect evolutionary processes to real-world disease applications.
10 years of coding experience
Master’s Degree, Biology, 3.79, Master’s Degree, Biology, 3.79 at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Doctor of Philosophy (PhD), Biology, General, Doctor of Philosophy (PhD), Biology, General at University of Pennsylvania
Contributions:25 pushes, 1 branch, 1 issue in 8 years 4 months
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Ozan Kiratli - Bioinformatician - Postdoctoral Research Fellow