  We establish a non-deterministic model that predicts a user's food
preferences from their demographic information. Our simulator is based on
NHANES dataset and domain expert knowledge in the form of established
behavioral studies. Our model can be used to generate an arbitrary amount of
synthetic datapoints that are similar in distribution to the original dataset
and align with behavioral science expectations. Such a simulator can be used in
a variety of machine learning tasks and especially in applications requiring
human behavior prediction.
