Zijun Li

Research on machine learning methods for high-dimensional data analysis and optimization. Key work includes: • Developing unsupervised learning methods for clustering and structure discovery in large datasets • Building scalable ML pipelines for benchmarking predictive models • Designing optimization algorithms for computationally expensive machine learning systems • Applying statistical modeling and representation learning to complex data structures