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I am interested in the field of data mining, machine learning, and spatial data mining techniques to address challenges at the intersection of computer science and biology. My current research is to develop a representation learning model to assess the effectiveness of immune check inhibitor (ICI) therapy in cancer treatment for point set data of multiplexed immunofluorescence (MxIF) imagery. I am also interested in developing novel spatial data science techniques intersecting with deep learning and high-resolution hyperspectral images in agriculture to evaluate crops' robustness and performance.
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25TH AGILE CONFERENCE ON GEOGRAPHIC INFORMATION SCIENCE ARTIFICIAL INTELLIGENCE IN THE SERVICE OF GEOSPATIAL TECHNOLOGIES (2022): 1-15
International Turfgrass Society Research Journal (2021)
user-60ab1d9b4c775e04970067d6(2021)
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