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Yinan Yu is an Assistant Professor in the Department of Computer Science at Chalmers University. His central research theme focuses on systematically encoding domain-specific knowledge into models to strengthen reasoning and adaptability. He aims to build a foundation for advancing personalized artificial intelligence by developing systems that can adapt to individual needs and contexts while remaining efficient and scalable. His work emphasizes reducing data requirements and minimizing model size, alongside designing representation learning methods to support highly personalized data. His research is inherently interdisciplinary, combining insights from computer science and engineering with domain expertise across sectors such as healthcare, automotive, finance, and sustainability. He collaborates closely with industry partners to ensure that his systems are designed to address real-world needs and incorporate robust data governance practices for scientifically sound and practically valuable deployments.
General requirements apply to all departments listed at Chalmers. Specific departments like Architecture require a portfolio. Programs in Management/Economics do not strictly require GMAT/GRE but high academic standing is prioritized.