Kana Maruyama

Background

About Kana Maruyama

I'm an applied AI researcher and engineer with a strong background in machine learning, natural language processing, and system-level development. I enjoy building robust, interpretable systems that connect technical depth with real-world complexity. Lately, I've been focusing on food and flavor informatics—using AI to explore how we experience taste and aroma. I've built up a foundation in wine and sake evaluation through formal programs like WSET, which helps me bring structured sensory insight into flavor-focused modeling and analysis. In bioscience, I'm exploring how AI can support scientific discovery and hypothesis generation, especially by linking biological concepts with computational tools. I’m drawn to areas where perception, modeling, and experimentation come together. In the past, I've worked across NLP, causal inference, embedded systems, and cross-platform software—always with a hands-on, curious mindset. Whether it's prototyping an idea, building tools, or designing systems, I like turning ideas into things that work. I'm especially excited by projects at the intersection of engineering, science, and creativity—where learning something new is part of the process.