Dr. Frevert is trained in veterinary internal medicine and comparative pathology with expertise in lung pathology. He also has considerable experience in the use of animal models to study lung infection, lung injury, and sepsis. Research in his laboratory focuses on the cellular and molecular mechanisms that regulate the innate immune system and the mechanisms that are responsible for the successful clearance of bacteria and viruses from the lungs. This includes research to determine the role that proteoglycans and their associated glycosaminoglycans play in the innate immune response to lung infection.
Dr. Liggitt, a board certified veterinary pathologist and Professor emeritus, has broad experience in biomedical research working in both the academic and private sectors - this includes substantial
Dr. Murnane is a board certified veterinary pathologist at the Washington National Primate Research Center, and has many years of broad experience in comparative veterinary pathology including over 10 years of research and pathology experience with zoo and wild animals. His primary responsibility is to provide research and diagnostic pathology expertise for the primate center. Dr. Murnane’s current primary research interest is focused on multi-disciplinary efforts to develop meta-analysis tools to query and analyze the plethora of scientific data available to biomedical researchers.
Dr. Treuting is the Chief of Comparative Pathology and directs the UW Veterinary Diagnostic Laboratory and co-directs the Histology and Imaging Core. She has extensive experience in the pathology of genetically modified mice and the use of mouse models in translational study of human disease. Her research areas center on mouse models in aging, inflammation, and cancer.
Dr. Sanders is certified as a Fish Pathologist by the American Fisheries Society Fish Health Section. Currently, Dr Sanders is a Lecturer and is the Director of the Aquatic Animal Program, which provides multiple resources, training, instruction, and coordinates veterinary care and diagnostics for aquatic research animals at the University of Washington.
Dr. Snyder is a specialist in comparative pathology and veterinary neurology with a focus on neuropathology and aging. She has completed residencies in Veterinary Neurology and in Comparative Medicine and Pathology, and she is uniquely qualified to consult and assist with aspects of study design, disease model evaluation, and histopathological analysis, scoring, and data interpretation in rodent and large animal models of neurological disease. Board certified in Veterinary Anatomic Pathology, October 2015
Kerrie Allen received her Bachelor of Science Degree from Washington State University in Animal Science with a main focus on veterinary medicine. After graduating she worked in the zoo and veterinary science fields and is currently the Program Operations Manager for the University of Washington Veterinary Diagnostic Lab/Comparative Pathology Program at South Lake Union.
Brian Johnson is a Senior Research Scientist in the Department of Comparative Medicine at the University of Washington School of Medicine. After receiving his bachelor’s degree in biology from Washington State University he received extensive histopathology training as a pathologists assistant (PA) for multiple clinical laboratories in the Puget sound area. He then spent two years working as a research scientist in pre-clinical development in a Seattle area biotechnology firm focusing on rodent and non-human primate pathology and lead candidate tissue cross-reactivity studies. Brian is now the program manager of the Histology and Imaging Core/Comparative Pathology Program at South Lake Union where he focuses on antibody optimization, digital imaging and quantitative image analysis.
Megan Larmore received her Bachelor of Science degree in Cellular and Molecular Biology from Western Washington University. Currently she is a Research Scientist/Engineer 1 at the University of Washington’s Histology and Imaging Core. There she performs immunohistochemistry and quantitative image analysis.