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to engineer human cells using synthetic gene circuits and biosensing platforms, develop novel biosensing systems for real-time monitoring of cellular states, create genetic architectures for precise therapeutic
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focused on the intersection of Machine Learning and Optimization Proven expertise in surrogate modelling, specifically in designing neural architectures for emulating constrained optimization problems
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research combines atomic physics, quantum control, and scalable architectures for fault-tolerant quantum computation, hybrid quantum simulation, and quantum-enhanced sensing. Project background Our group
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