Joseph Paul Cohen PhD
About Joseph Paul Cohen PhD
Joseph Paul Cohen, PhD, is a Deep Learning Research Engineer at Butterfly Network, Inc. and the Founder and Director of the Institute for Reproducible Research.
Current Role at Butterfly Network, Inc.
Joseph Paul Cohen currently holds the position of Deep Learning Research Engineer at Butterfly Network, Inc. In this role, he is involved in developing deep learning algorithms, with a specific focus on their application in portable ultrasound devices. This position allows him to leverage his extensive background in artificial intelligence and deep learning to advance medical imaging technology.
Founder and Director at Institute for Reproducible Research
In addition to his role at Butterfly Network, Inc., Joseph Paul Cohen is the Founder and Director of the Institute for Reproducible Research located in Boston, MA. This institute focuses on promoting reproducibility in scientific research, addressing a critical issue in modern research practices. His leadership here highlights his commitment to improving the standards of scientific research and his dedication to the integrity of the scientific method.
Postdoctoral Research Experience
Joseph Paul Cohen has an extensive postdoctoral research background. He worked as a Postdoctoral Fellow at Stanford University, advised by Akshay Chaudhari and Matthew Lungren, from 2020 to 2021. Before that, he spent four years as a Postdoctoral Fellow at Mila - Quebec Artificial Intelligence Institute, under the guidance of Yoshua Bengio. He also served as the Friends of the Farlow Fellow at Harvard University Herbaria, working with Donald Pfister, from 2016 to 2017.
Educational Background in Computer Science
Joseph Paul Cohen received his Ph.D. in Computer Science from the University of Massachusetts Boston, studying under Wei Ding from 2011 to 2016. He also completed a second Ph.D. from the same institution from 2009 to 2014. Earlier in his academic career, he studied at Massachusetts Bay Community College from 2004 to 2008. His advanced education laid a strong foundation for his expertise in deep learning, static and dynamic source code analysis, and other areas of computer science.
Previous Professional Experience
Joseph Paul Cohen has accumulated diverse professional experience over the years. He has worked in various roles, such as a Geoinformatics Visiting Scientist at University of Cincinnati, Computer Scientist at U.S. Naval Research Laboratory, and Research and Development at ThinkersRUS, Inc. His earlier positions include Software Engineer at Viridity Software, Inc., System Engineer at Liaison International and Boston University, and Computer Technician at Computer Connections. These roles have equipped him with a broad skill set across different domains, including industrial automation, Android, web, and JavaScript development.
Research Publications
Joseph Paul Cohen has contributed to numerous research papers, particularly in the fields of deep learning and artificial intelligence. These papers are accessible on Google Scholar and provide insights into his research findings and advancements. His publications reflect his extensive research experience and his contributions to the scientific community.