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computing runtime with application and compilers to efficiently integrate quantum processors with HPC resources. The research will explore different quantum computing modalities, their architectural
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, including data from SPRUCE, AmeriFlux towers, and other observational and experimental Compile, harmonize, and synthesize multi-source observational datasets (e.g., flux, soil biogeochemistry, plant trait
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, including data from SPRUCE, AmeriFlux towers, and other observational and experimental Compile, harmonize, and synthesize multi-source observational datasets (e.g., flux, soil biogeochemistry, plant trait
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the computational foundations of probabilistic programming, such as automatic differentiation, tensor libraries (PyTensor, JAX), gradient-based samplers, or model transpilation and compilation. Experience with
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for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms