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Chengbin Zhu

Data Scientist

Chengbin Zhu is completing a Ph.D. in Applied Mathematics at the University of Illinois Urbana-Champaign (expected December 2025). His research spans numerical analysis, optimization, and high-performance computing.

At Fitila, Chengbin engineers geospatial machine-learning pipelines that integrate multi-modal satellite and subsurface datasets to pinpoint critical mineral resources. He also advances generative-image models—combining LLM embeddings with diffusion and GAN architectures—to accelerate synthetic-data creation for defense and energy clients. Chengbin’s toolset includes Python, C++, PyTorch, TensorFlow, CUDA, and distributed-cloud frameworks.