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., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by
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the identification and characterization of proteins and other biomolecules that work together and are involved in cellular processes and in disease. We house an excellent array of state-of-the-art mass spectrometers
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and differential inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g., high performance, functional array programming DSLs) to tackle challenging probabilistic
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