FAMIA recognizes the contributions and professional accomplishments of AMIA members who apply informatics skills and knowledge to their practice – be that in a clinical setting, a public or population health capacity, or as a clinical researcher.
Arvind Raois an associate professor in the departments of Computational Medicine & Bioinformatics (DCMB) and of Radiation Oncology. His area of research is at the intersection of genomics and image informatics, across biological scale (cells, tissue, and organ). His group is interested in developing multi-modal decision algorithms that link and integrate various measurements (imaging, genomics, etc.) to characterize disease. His algorithms for phenotypic measurements encompass data from 2D/3D microscopy, radiology and histopathology. They are also interested in methodological aspects of genomic analysis and image assessment. In the context of these investigations, they are very interested in collaborations with clinicians, biologists, engineers, and data scientists.