Joseph Paul Cohen PhD
My current focus is on medical applications of deep learning:
- Genomics: mRNA gene expressions, RNA-Seq, MicroArray, scRNA-Seq, cancer subtype/phenotype prediction
- Medical Imaging: histology, microscopy, cell counting, unsupervised representations, data augmentation
- Clinical: survival/event prediction, automated triage
Joseph Paul Cohen is a Postdoctoral Fellow at the Montreal Institute for Learning Algorithms working on medical applications of deep learning including computer vision and genomics. He holds a Ph.D Degree in Computer Science and Machine Learning from the University of Massachusetts Boston. His research interests include machine learning, computer vision, ad-hoc networking, and cyber security. Joseph received a U.S. National Science Foundation Graduate Fellowship in 2013 as well as COSPAR’s Outstanding Paper Award for Young Scientists in the same year. Joseph is the founder of the Institute for Reproducible Research which produces ShortScience.org; which lets researchers publish and read summaries of research papers like an online journal club, as well as Academic Torrents; a system designed to move large datasets and become the library of the future. He is also the creator of BlindTool; a mobile application providing a sense of vision to the blind by using an artificial neural network that speaks names of objects as they are identified. Joseph is the creator of Blucat; a cross-platform Bluetooth debugging tool. He has worked in industry for small startups, large corporations, government research labs, educational museums, as well as been involved in projects sponsored by NASA and the DOE.