Daisaku IKOMA

Bridging the gap between physical engineering and data-driven innovation. With over 20 years of experience in the semiconductor industry—spanning from process development at Panasonic to design environment leadership at DENSO—I have consistently focused on the intersection of complex physical phenomena and mathematical modeling. My career has evolved from "Physical Modeling" (Statistical modeling of semiconductor devices) to "Data-Driven Transformation." After earning my Master of Science in Data Science from the University of Colorado Boulder, I have been spearheading DX initiatives, focusing on AI/Machine Learning integration, data infrastructure, and Generative AI (RAG & Agentic AI) to drive business efficiency. I am passionate about building a career that leverages my deep domain knowledge in engineering to implement practical, high-impact AI and Data Science solutions. Experience (Highlights): Manager, DX Foundation Development / Data Science, DENSO Leading divisional DX roadmaps, managing data infrastructure, and implementing AI/DS themes to optimize business operations. Manager, Semiconductor Design Environment, DENSO Managed EDA tools and infrastructure, successfully negotiating multi-year enterprise contracts. Engineer, Panasonic Contributed to the world's first mass production of advanced CMOS processes through statistical device modeling and characterization.