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Ahmed Hosny

  • PhD Candidate
  • Lead Research Technician
  • Dana Farber Cancer Institute
  • 10h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 1381CitationsNumber of citations received by Ahmed's publications. Updated daily.


Ahmed is a machine learning research scientist focused on solving biomedical problems. Currently at Dana Farber Cancer institute, he trains and optimizes deep learning networks for the prognostication and treatment response prediction in lung cancer patients from CT data. In addition to regularly contributing to open-source projects including and PyRadiomics, he is also intrigued by data visualization, web development, and everything UI/UX. He has previously conducted research at Brigham and Women’s hospital, Wyss Institute for Biologically Inspired Engineering, as well as MIT Media Lab’s Mediated Matter group. As an architect and computational designer in a former life, he spent 4 years working in construction with Foster+Partners in Beijing and Playze in Shanghai. He is currently working on a PhD in machine learning and medical imaging at Maastricht University after having completed a Master of Design Studies in Technology at the Harvard Graduate School of Design, and a Bachelor of Architecture at the American University of Sharjah. Cairo is his hometown and if he is not staring at his laptop, you can find him flying single engine planes, practicing Mandarin or eating chocolate chip cookies.

Research interests

Professional experience

Lead Research Technician

Dana-Farber Cancer Institute

September 2016 - Present

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Co-authors (148)