Hojin Yoo

This researcher works at the intersection of computational methods and biomedical/chemical discovery, applying machine learning, deep neural networks, and statistical modeling to problems such as drug candidate screening, proteomics data analysis, and text mining of biological literature. Recent work includes using machine learning to find natural compound inhibitors, developing statistical tools for mass spectrometry-based proteomics, and building network-based analyses of biomedical literature. The work also spans applied computer vision projects like image classification and segmentation, suggesting a broad computational toolkit applied across biological and non-biological domains.

Publication output was minimal before 2019, rose modestly and steadily through 2020-2023 at 1-3 papers per year, dipped in 2024, then sharply increased to 6 publications in 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026