Published over 70 refereed publications; his work has been funded by the Department of Veteran Affairs, National Institute on Aging, as well as NASA, NSF, and NIH; is an active collaborator of the Observational Health Data Sciences and Informatics.
Research Experience
Built content-based image retrieval systems for NASA’s SDO mission; designed and developed point-of-sale (POS) systems; involved in multiple big data projects, such as annotating over 68 million clinical notes and mapping over 8 million patient electronic health records to the OMOP common data model.
Background
Currently an assistant professor of computer science at Georgia State University. In his research lab, Panacea Lab, he aims to build machine learning, computer vision, and NLP methods that help to generate insights from multi-modal large-scale data sources. His work addresses domain-specific problems with applications in precision medicine, medical informatics, astroinformatics, and other areas. With over 20 years of engineering experience, he has used a variety of programming languages and tools to process large amounts of data.
Miscellany
Possesses broad technical skills in database management, data science, data engineering, machine learning, and more; has strong communication and writing skills along with management capabilities; committed to releasing all his work via open-source licenses following the FAIR data sharing principles.