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Anthony English’s research is centered on advancing our understanding of animal behavior and fostering a connected world where humans and animals coexist. His work primarily involves the development of cutting-edge machine learning and artificial intelligence (AI) tools to automate behavioral analysis in animal models. He is focused on building platforms that can automatically detect and classify both standard and nuanced naturalistic behaviors in rodents, which constitute 95% of research animals. Through the design of algorithms that learn directly from experimental data, his research aims to identify disease-specific stereotypical behaviors, thereby improving the sensitivity and detail of behavioral assessments compared to standard methods. His system is optimized for scalability, low-latency performance, and seamless integration into existing preclinical workflows, ultimately enhancing reproducibility and accelerating drug discoveries.
University of Washington • Seattle, WA
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