Hamza Harkous

Hamza Harkous is an accomplished applied AI researcher known for creating cutting-edge products.

His expertise spans from building machine learning systems to ensuring a seamless user experience.

He specializes in data-driven usable privacy, a field in which he completed his Ph.D. thesis, with over 15 scientific publications and 1 US patent to his name.

Throughout his career, Hamza has been honored with multiple Best 'X' Awards for his exceptional work in areas such as theses, papers, presentations, and posters.

His contributions have been recognized by top tech publications and influential institutions, including features in the Wall Street Journal, WIRED, Fast Company, and more.

Educationally, he holds a Ph.D. in Computer, Communication, and Information Sciences, an MSc in Communication Systems, and a BE in Computer and Communications Engineering.

Professionally, Hamza has held positions as a Senior Research Scientist at Google, Research Scientist at Amazon, Machine Learning Scientist at Privately SA, Postdoctoral Researcher at EPFL, and other notable roles.

His diverse experience includes contributions at companies like Nokia and engagements with the Distributed Programming Laboratory at EPFL.

With a strong academic background and a proven track record in the industry, Hamza Harkous stands out as a significant figure in the field of applied AI and machine learning.