Mila > Team > Joseph Paul Cohen

# Joseph Paul Cohen

https://josephpcohen.com/
AI for Good
Computational Biology
Computer Vision
Data-Mining
Distributed Systems
Deep Learning
Graph Neural Networks
Medical Machine Learning (ML)
Student, Student Post-Doc, Université de Montréal

Email:

Online Profiles: LinkedIn, Google Scholar, ShortScience.org

My interests are in medical applications of deep learning:

- Medical Imaging: radiology, histology, microscopy, cell counting
- Genomics: gene representations, scRNA-Seq, cancer subtype/phenotype prediction
- Clinical: survival/event prediction, automated triage

As well as core deep learning:

- Generalization: unsupervised representation learning, meta-learning, concept representations
- Uncertainty: out of distribution detection, model calibration
- Attribution: prediction explanation, model interpretation

Joseph Paul Cohen is a postdoctoral fellow at the Center for Artificial Intelligence in Medicine & Imaging at Stanford University as well as at Mila the Quebec AI Institute. Joseph is currently focusing on the limits of AI in medicine with respect to computer vision, genomics, and clinical data. He holds a PhD Degree in Computer Science and Machine Learning from the University of Massachusetts Boston. Joseph has worked on issues related to ML deployment in healthcare focusing on out-of-distribution detection and the limits of generalization. As well as general biology tools for mRNA/DNA representation learning from RNA-Seq and cell counting from microscopy data. Joseph received a U.S. National Science Foundation Graduate Fellowship as well as an IVADO Postdoctoral Fellowship. Joseph is the director of the Institute for Reproducible Research which is dedicated to improving the process of scientific research using technology.

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.