400万人が利用するビジネスSNS
None / Student
I am currently a doctoral candidate in Bioinformatics and Computational Biology at the University of Tokyo, with deep expertise in data processing and deep learning model implementation. My research focuses on utilizing multimodal deep learning techniques to elucidate the mechanisms of protein subcellular localization. Concurrently, I am dedicated to studying epidemics based on EHR data and ICU data prediction.
I want to explore the application and potential of AI and large language models in more fields.
Prediction model of bioinformatics based on deep learning models
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ソフトウェアの設計、実装、運用、テータの計測、加工、分析
Optimizing the Multimodal Supervised Learning of Spatial Patterns (MUSSP) model based on LOPIT data.
Master of Data Science. Unsupervised deep learning, natural language processing, data analysis, database management.
Bachelor of Science in Applied Statistics. It mainly focuses on statistical analysis theory and mathematical model for different data.
東京大学 / Computational biology and medical sciences
The Karolinska Institute and the University of Tokyo jointed PhD short-term project. I am very happy to have completed the data analysis related to batch effect reduction. At the same time, I also communicated with other excellent doctoral students.
