Saeed Seyyedi

Saeed Seyyedi is a highly educated individual with a strong background in Artificial Intelligence, Computer Vision, and Biomedical Engineering.

He completed a Postdoc in Artificial Intelligence and Computer Vision from Stanford University, earned a Ph.D. in Computer Science from the Technical University of Munich, a Master's degree in Biomedical Engineering from Istanbul Technical University, and has pursued studies at The Johns Hopkins University.

Saeed has a rich work history, having worked as a Machine Learning Engineer at Google, and holding research positions in AI & Deep Learning at prestigious institutions like the University of California, San Francisco and Berkeley, Stanford University, and technical roles at AstraZeneca, BC Cancer Foundation, and Technical University of Munich.

His contributions extend to education as well, with experience as a Teaching Assistant and Project Assistant at Istanbul Technical University, and as a Guest and Visiting Researcher at Johns Hopkins University and Technical University of Munich, respectively.

Saeed Seyyedi's expertise spans across various domains, showcasing a comprehensive skill set in machine learning, AI research, data science, imaging analysis, and consultancy.

His diverse educational background and professional experience marks him as a proficient individual in the field of technology and research.