Data Science Core Faculty

Photograph of Dr. Mandel.

Dr. Travis Mandel

Data Science Program Coordinator

Dr. Mandel is an associate professor in the Computer Science department, specializing in Artificial Intelligence (AI), Machine Learning, and Computer Vision. He received his PhD in Computer Science from the University of Washington. Travis' research focuses on how AI systems can best assist human scientists with their work.

Photograph of Dr. Burns.

Dr. John Burns

Dr. Burns is an associate professor in the Marine Science department. He received his PhD in Biology from the University of Hawaii at Manoa. John is the director of the MEGA Lab, an organization focused on applying digital imaging techniques to analysis of coral and fish ecology.

Photograph of Dr. Weyenberg.

Dr. Grady Weyenberg

Dr. Weyenberg is an associate professor in the Mathematics department. He received his PhD in Statistics from the University of Kentucky. Grady's research is focused on identifying and applying statistical techniques to optimally assist researchers and scientists in various domains.

Photograph of Dr. Hong.

Dr. Sukhwa Hong

Dr. Hong is an assistant professor in the College of Business and Economics. He received his PhD in Business Information Technology from Virginia Tech. Sukhwa's research is focused on text mining, natural language processing, and social media analytics.

Data Science IT Support

Photograph of Mr. Cristobal.

Francis Cristobal, M.S.

Mr. Cristobal is a Junior Specialist in the Computer Science department and is in charge of supporting IT needs of the data science progam. He received his Master's degree in Management Information Systems with a specialization in IT from Metropolitan State University. Francis' research focus is in data visualization and IT Administration, and he leads the CyberCANOE initiative on the Big Island.

Research Collaborators

Dr. Ryan Perroy (Geography Department)

Dr. Ryan Perroy runs the Spatial Data Analysis and Visualization (SDAV) lab - his lab collects and process imagery collected by drones and helicopters. His lab uses machine learning and artificial intelligence to identify objects of interest (e.g. invasive species) in this imagery.
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