James Gentile
About James Gentile
James Gentile serves as the Research Director at Two Six Technologies, where he has worked since 2015. He holds a PhD in Computer Science and Engineering from the University of Notre Dame and has a strong background in generating intellectual property through research and patents.
Work at Two Six Technologies
James Gentile has served as the Research Director at Two Six Technologies since 2015. In this role, he manages a research and development portfolio that focuses on building predictive models with limited data. His work emphasizes skills in natural language processing and machine learning. Gentile also serves as Principal Investigator and Technical Lead on various DARPA projects, showcasing his expertise in advanced research initiatives. He plays a crucial role in transitioning technology into programs and products, contributing to strategic innovation and technology transfer within the organization.
Education and Expertise
James Gentile holds a Doctor of Philosophy (PhD) in Computer Science and Engineering from the University of Notre Dame, which he completed from 2010 to 2013. He also earned a Master of Science (MS) in the same field from the same institution between 2006 and 2008. Prior to that, he obtained a Bachelor of Science (B.S.) in Computer Engineering from Trine University, graduating in 2006. His educational background provides a strong foundation for his expertise in data science, natural language processing, and machine learning.
Previous Experience at MITRE and IBM
Before joining Two Six Technologies, James Gentile worked at MITRE as a Lead Computer Scientist from 2013 to 2015. In this position, he contributed to various projects and initiatives in the field of computer science. Prior to his role at MITRE, he was a Graduate Co-Op at IBM from 2008 to 2010, where he gained practical experience in the industry. His work history reflects a consistent focus on research and development in technology.
Intellectual Contributions and Open Source Projects
James Gentile has a track record of generating intellectual property through academic publications and patents. His contributions to open source projects demonstrate his commitment to collaboration and innovation in the field of data science. This involvement not only highlights his technical skills but also his dedication to advancing knowledge and practices within the community.