• Rupal Patel

    Professor, Interdisciplinary with Bouvé College of Health Sciences

    Rupal Patel is a professor at Khoury College, jointly appointed with the Bouvé College of Health Sciences. By analyzing speech production and motor control, then implementing AI and other computation techniques, she designs and develops assistive communication technologies for neurotypical and impaired speakers alike.

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  • Daniel Patterson

    Assistant Teaching Professor

    Daniel Patterson is an assistant teaching professor at Khoury College. He is particularly interested in the first few years of a computer science curriculum, and uses his background in programming languages, logic, and specification to help students with no experience in computer science establish a strong grasp on the fundamentals.

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  • Misha Pavel

    Research Professor, Interdisciplinary with Bouvé College of Health Sciences

    Misha Pavel is a research professor, jointly appointed between Khoury College and the Bouvé College of Health Sciences. He researches behavioral informatics with a focus on multi-scale computational modeling of behaviors and their control, which can be applied to everything from elder care to the augmentation of human performance.

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  • Virgil Pavlu

    Associate Teaching Professor

    Virgil Pavlu is an associate teaching professor at Khoury College. His research focuses on information retrieval and organization, and the potential to use machine learning algorithms for the discovery and indexing of text data.

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  • Cristian Penarrieta

    Part-Time Lecturer

    Cristian Penarrieta is a part-time lecturer at Khoury College, and a senior software engineer at HR software company Gusto. Prior to joining Northeastern, Penarrieta worked as a senior software engineer at Electronic Arts.

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  • Jose Perea

    Associate Professor, Interdisciplinary with College of Science

    Jose Perea is an associate professor at Khoury College, jointly appointed with the College of Science. He is passionate about using nonstandard mathematical ideas to solve problems in data science and machine learning.

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