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convolutional neural networks that can infer parameters on a Kinematic Lensing measurements from imaging and spectroscopic date taken by the Dark Energy Spectroscopic Instrument (DESI). Background knowledge in
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methodologies. Understanding of integrating Bayesian approaches in NN-based model Knowledge of model deployments to cloud platforms or past work with AutoML tools. Knowledge of MLFlow for maintaining model
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or via new data collections; contributing to advances in the analysis of causal inference questions related to social connectedness and health, especially the use of cotwin methods and/or propensity score
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academic year. Initial classes will be BNAN 276 Statistical Inference in Management, BNAN 277 Analytical Methods for Business, and/or other undergraduate or graduate level classes in business analytics