Summary
Ozan Genç is a Senior Data Engineer with 8 years of experience applying classical machine learning and deep learning to multimodal medical imaging, currently building data products at PictorLabs in Los Angeles. He blends statistical rigor, data visualization, and production ML tooling (Python, PyTorch, SQL, AWS SageMaker) to turn messy, high-dimensional clinical datasets into actionable insights for both technical and non-technical stakeholders. His background spans academic research roles at UCSF and Boğaziçi University’s Computational Imaging Lab, giving him deep domain expertise in biomedical engineering and real-world data challenges like missingness and corruption. Bilingual in English and Turkish with basic Italian, he also communicates findings through GitHub and a technical Medium blog, demonstrating a habit of documenting reproducible workflows and bridging research to deployed systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Electrical & Electronics Engineering, Bachelor of Science - BS Electrical & Electronics Engineering at Università di Pavia
Master of Science - MS Biomedical Engineering, Master of Science - MS Biomedical Engineering at Boğaziçi University