Summary
Man Ho is a machine learning scientist and Research Fellow at the University of Utah with nine years of experience developing AI methods for cancer diagnosis, prognosis, and treatment, particularly for prostate and kidney cancer. He has a strong track record in medical and multimedia imaging—adopting latent diffusion models to restore histopathology images and boosting subtype classification AUCROC from ~82% to ~95% on challenging frozen and FFPE samples. His background spans academia and industry, from video-compression research and smartphone photo-scanning models to deploying face-recognition and tracking systems in production. A PhD-trained researcher who mentors PhD candidates and contributes open-source tools (e.g., repositories for video compression and image restoration), he blends rigorous research with practical engineering and real-world deployments. Based in Salt Lake City, he is also an accomplished photographer, applying imaging insight across both scientific and creative projects.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science with Honours, Computer Science, Bachelor of Science with Honours, Computer Science at University of Information Technology
Doctor of Philosophy - PhD, Science and Engineering, 4.0, Doctor of Philosophy - PhD, Science and Engineering, 4.0 at Hosei University Koganei Campus