Jake Searcy is an academic expert in artificial intelligence, machine learning, and data-driven research across industry and academia. His work focuses on translating AI research into meaningful real-world applications by collaborating with domain experts to leverage the unique characteristics of their datasets. Much of his research addresses challenges in machine learning when comprehensive annotations are scarce, making it difficult for traditional models to perform reliably. To tackle this, he develops AI techniques that can learn from limited labeled data, such as attention-based multi-instance learning—a deep learning approach designed to analyze large inputs that can be broken down into meaningful sub-parts, such as long legal transcripts, whole-slide digital pathology images, or satellite images.
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UO researchers and Coquille Tribe team up against climate change (KLCC, Aug. 13, 2023)