
David S. Wack
Associate Professor · Artificial Intelligence
State University of New York at BuffaloUnited States
About
David S. Wack is an Associate Professor at the University at Buffalo's Jacobs School of Medicine & Biomedical Sciences, Department of Radiology. His research focuses on medical image analysis and neuroimaging, particularly in auditory processing and parameter estimation from PET, MRI, and CT images. He has held academic positions since 1992, progressing from instructor roles to his current rank. His work includes NIH-funded projects on imaging technologies and collaborations with institutions like Canon Medical Systems and UBNS.
Education:
- PhD in Communicative Disorders and Sciences (SUNY Buffalo, 2010)
- MA in Applied Mathematics (SUNY Buffalo, 1992)
- BA in Applied Mathematics and Music Performance (SUNY Buffalo, 1989)
Research Interests:
- Development of parametric maps from medical images
- Machine learning applications in neuroimaging
- Neuroimaging of auditory and language processing
- Dynamic image noise reduction and segmentation algorithms
- Neural markers of top-down compensation in speech processing
Recent Projects:
- NIH-funded self-collimating SPECT breast tomography system
- 4D flow MRI for intracranial atherosclerotic disease assessment
- Machine learning for neuroimage classification
Grants & Service:
- Member of Jacobs School faculty council and UB Faculty Student Association board
- Editorial roles at Frontiers in Neuroscience (Brain Imaging Methods, Decision Neuroscience)
Labs & Teams:
- Buffalo Neuroimaging Analysis Center
- Collaborations with UBNS, Canon Medical, and VA Western New York Health Care System
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