Eric P. Kasten, Ph.D.
Assistant Professor Department of Radiology
Director, Biomedical Research Informatics Core
Clinical Translational Sciences Institute
West Fee Hall
909 Fee Road, Rm B515-C
B.S.: Computer Science, Central Michigan University, Mt. Pleasant
B.S.: Mathematics, Central Michigan University, Mt. Pleasant
M.S.: Computer Science, Michigan State University, East Lansing
Ph.D.: Computer Science, Michigan State University, East Lansing
Dr. Eric P. Kasten is an Assistant Professor and the Director of the Biomedical Research Informatics Core (BRIC), a division of the Clinical and Translational Sciences Institute (CTSI). As director, Dr. Kasten supervises the operations, outreach, and research activities of a team of more than 20 employees, including system administrators, software developers, data managers, project coordinators and research faculty. BRIC supports both domestic and international projects by providing research support to campus investigators for data management, data security, and analysis of clinical research data. As part of his responsibilities at BRIC, he is a co-investigator on an award that funds a CDC data coordinating center supporting the largest federally funded epidemiological study in the US to help identify factors that might put children at risk for autism. He oversees the implementation and operation of the secure systems and services that support activities such as statistical analysis, geocoding to support exposure analysis, and high performance computational analysis of human genetics data. In collaboration with the High Performance Computing Center, he shepherded the creation of a cluster of compute nodes, which met federally mandated security requirements, to support high performance analysis of genetic data. He is the primary author and provided oversight for the implementation of the system security plan required for the data coordinating center to achieve FISMA compliance and receive an authorization to operate from the CDC. Dr. Kasten is also a co-investigator and team member for the Flint Lead Exposure Registry. In support of the registry, he provides consultation and coordination of BRIC services on system and data security, computer systems, and data analytics. In collaboration with ecologists, Dr. Kasten has studied methods for processing and analysis of environmental acoustics for census of vocalizing animals and characterization of the soundscape to support monitoring and interpretation of terrestrial ecosystems.
His current research interests focus on the design of algorithms for biomedical and ecological informatics, bioinformatics, evolutionary computation, computational linguistics, natural language processing, bioacoustics, autonomous decision making in software, digital image analysis and understanding, and sensor technologies for automated monitoring of environments and ecosystems. Prior to receiving his Ph.D. degree, Dr. Kasten enjoyed a diverse career designing, implementing and deploying many different types of computer systems and software. He has practical experience using software engineering techniques to design and implement software systems and algorithms for sensor platforms and data acquisition and analysis systems to support science, environmental and human health research.
List of awards:
- "Flint Lead Exposure Registry" Centers for Disease Control and Prevention
- "Flint Water Registry Planning Grant" Michigan Department of Health and Human Services
- "Data Coordinating Center" Centers for Disease Control and Prevention
- "Prenatal SSRI Exposure, Maternal and Child Genotype, and Austin Spectrum Disorders" National Institutes of Health
- "The Malawi Malaria Consortium: Data Integration for Translational Research," CTSI Pilot Project/ Seed Grant Program.
- "Phenotype Modeling and Outcome Mapping for Pain Management Decision Support," National Institutes of Health Agency for Health Care Research and Quality (AHRQ).
- "Data Coordinating Center for Autism and Other Developmental Disabilities: SEED I and II," Centers for Disease Control and Precention.
Detecting and Diagnosing Breast Cancer with Evolutionary Algorithms," BEACON Center: An NSF Center for the Study of Evolution in Action. Funded under NSF Cooperative Agreement: DBI-0939454.
- "Phenotype Modeling and Outcome Mapping for Pain Management Decision Support," CTSI Pilot Project/Seed Grant Program.
- S. H. Gate, M. Towsey, and E. Kasten “Analytical methods in ecoacoustics,” in Ecoacoustics: The Ecological Role of Sounds, (A. Farina and S. H. Gage, eds.), ch. 16, UK: John
Wiley & Sons, Ltd., 2017.
- D. Juckett, F. Davis, M. Gostine, E. Kasten, P. Reed, J. Gardiner, R. Risko, “Discordant patient pain level reporting between questionnaires and physician encounters of the same day,” Proceedings of the AMIA Annual Symposium, Chicago, Illinois, November 2016.
- E. P. Kasten, S. H. Gage, J. Fox and W. Joo, “The Remote Environmental Assessment Laboratory’s Acoustic Library: An archive for studying soundscape ecology,” Ecological Informatics, vol. 12, pp. 50–57, 2012.
- W. Joo, S. H. Gage and E. P. Kasten, “Analysis and interpretation of variability in soundscapes along an Urban-rural Gradient,” Landscape and Urban Planning, vol. 103, issues 3–4, pp. 259–276, 2011.
- E. P. Kasten, P. K. McKinley and S. H. Gage, “Ensemble extraction for classification and detection of bird species,” Ecological Informatics, vol. 5, pp. 153–166, 2010.
- E. P. Kasten and P. K. McKinley, “MESO: Supporting online decision making in autonomic computing systems,” IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 4, pp. 485–499, April 2007.
- P. K. McKinley, S. M. Sadjadi, E. P. Kasten and B. H. C. Cheng, “Composing adaptive software,” IEEE Computer, vol. 37, no. 7, pp. 56–64, July 2004.
- R. Fox, E. P. Kasten, K. Orji, C. Bolen, C. Maurice and J. Venema, “Real-time results without real-time systems,” IEEE Transactions On Nuclear Science, vol. 51, no. 3, pp. 571–575, June 2004.
Other Departmental/Program Affiliations:
Clinical and Translational Sciences Institute
Biomedical Research Informatics Core
Flint Lead Exposure Registry
Remote Environmental Assessment Laboratory