Generative AI & Vision
Diffusion models, conditional flow matching, virtual staining, and image-to-image reconstruction.
Emre Beray Boztepe
Machine Learning Researcher
AI & Computer Vision
About me
I'm a Machine Learning Researcher at CASUS (Helmholtz-Zentrum Dresden-Rossendorf, HZDR), where I develop and evaluate generative models for reconstructing fluorescence signals from microscopy images. My research includes adapting diffusion models, implementing conditional flow matching, and benchmarking image-to-image reconstruction methods.
With an M.Sc. in Data Science and a B.Sc. in Computer Engineering, I bring together hands-on AI research and professional software development experience. Before CASUS, I worked as a game developer at NARCADE. My academic work spans multimodal learning, explainable AI, and transformer-based algorithmic reasoning.
Open to opportunities from January 2027: Data Science, Machine Learning / AI Engineering, and Computer Vision roles throughout Germany. Willing to relocate; open to remote, hybrid, and on-site work.
Diffusion models, conditional flow matching, virtual staining, and image-to-image reconstruction.
PyTorch model development, GPU/HPC training, reproducible experiments, and quantitative evaluation.
Python data workflows, SQL-backed applications, APIs, and production software experience.
Additional project experience: AWS, Google Cloud, Azure, Airflow, Kedro, R, MATLAB, C#, Tableau.
Education: M.Sc. in Data Science, University of Wrocław (2025); B.Sc. in Computer Engineering, Çanakkale Onsekiz Mart University (2022).
Research outputs: Three AI/ML publications, including two first-author journal articles, and an ISAS2022 conference presentation. Explore my publications and research activities.
Languages: Turkish (native), English (C1), German (A1), Polish (A1).