Nagoya University · Faculty of Engineering / Graduate School of Engineering · 特任准教授

Research keywordsedit distance・q-gram distance・active learning・Gaussian process regression・Bayesian optimization・distributionally robust learning・empirical risk minimization・molecular design

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• Novel Machine Learning Method AllerStat Identifies Statistically Significant Allergen-Specific Patterns in Protein Sequences
• Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization.
• Distributionally Robust Active Learning for Gaussian Process Regression.
• Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design.

• データが継続的に得られる機械学習における、分布変化を考慮したデータ削減手法の研究
• 探索的分析によるデータ駆動型仮説の信頼性評価法の確立と生命科学分野における実証

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