My research is a study of modeling algorithms for recommender systems. I am currently creating an H-PLE model with higher performance and interpretability based on multitasking. My future career plan is to join a tech company like Google or Alibaba and work on related algorithms.

私は、ソフトマテリアルで構成されたマイクロ流路を構築し、人工血管モデルとして応用する研究を行っています。特に、ゲル中に埋め込まれた材料を溶解除去することでマイクロ流路を作製する手法を用い、培養細胞の足場であるECMベースの流体デバイスを作製しています。キャリア展望としては、豊富な流体デバイスのデザイン・作製経験や培養システムの構築経験を活かし、一般企業や研究機関、起業など幅広く検討しています。

My research focuses on the innovative integration of augmented reality (AR). By developing a system for efficient virtual sensor placement and data synthesis, we are paving the way for significant enhancements in diverse fields like machine learning, AI, and human-computer interaction. This work not only contributes to the academic community but also holds immense potential in industries reliant on robust datasets. My expertise in it opens up promising career opportunities in tech companies, research institutions, and academia. In the future, I hope to engage in related work in a Japanese enterprise, or continue to move forward in scientific research.

My research intersects neuroscience and AI, aiming to develop intelligent, resilient and adaptable robots that operate in dynamic environments. I aspire to help build AI technologies that universally enhance quality of life and support human society. Building on the huge successes of disembodied AI systems, like large language models, my goal is to help drive similar transformative progress in embodied AI and robotics through groundbreaking research. In the future, I hope to work as a research scientist, continuing to solve problems related to intelligent embodied AI systems, grounded in key ideas from cognitive science and neuroscience.

金属3Dプリンタの一種である指向性エネルギー堆積法を用いた金属コーティングにおいて，機械的性質等の表面特性制御手法の開発に取り組んでいます．伝熱シミュレーションや実験で得られる熱履歴や金属ミクロ組織を用いて，加工条件と表面特性を理論的に関連付けることを目指します．将来は，様々な「もの」や「こと」の根幹である生産工学分野で研究者として働ける人材になることを目標に日々研究に取り組んでいます．