Scholar
Joseph Paul Cohen
Google Scholar ID: slS0dvUAAAAJ
Amazon, AIMI (Stanford University), Mila (Quebec AI Institute)
Citations & Impact
Citations
8,262
H-index
33
i10-index
45
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Pioneered the use of on-device deep learning for blind assistance tools with the creation of BlindTool – a mobile vision aid Android app; Founder and director of non-profit organizations operating ShortScience.org and Academic Torrents; Organized events such as Innovation, Hacking, Free and Open Source, Mars and Beyond at the Museum of Science Boston, Artificial Intelligence for Genomics boot camp at Concordia University, and IVADO Data Science and Healthcare school; Selected projects include Counterfactual Explanations for Chest X-rays, TorchXRayVision: A library for chest X-ray datasets and models, Building a public COVID-19 dataset of X-ray and CT scans, etc.
Research Experience
- Applied Scientist at Amazon AWS Health AI; Former Deep Learning for Ultrasound at Butterfly Network; Former Postdoctoral Research Fellow at AIMI, Stanford University; Led the medical deep learning research group at Mila, Quebec AI Institute.
Education
- Postdoctoral Fellow at Mila, Quebec AI Institute, University of Montreal; Postdoctoral Research Fellow at AIMI, Stanford University.
Background
- His goal is to democratize access to healthcare, providing the highest quality healthcare to everyone (specifically those not served by the current system; 8% in the US and 25% globally). Automation and AI can increase the supply of providers to fill this need. His core research directions are representation learning, generalization, and model interpretability.
Miscellany
- Personal interests and other activities not explicitly mentioned.
Co-authors