Biological systems range from small-scale processes, such as gene transcription within cells, to large-scale phenomena like the sleep-wake cycle. The tools used to analyze these dynamics vary depending on the scale. In this workshop, we will introduce key methods for understanding intracellular, intercellular, and systematic dynamics. Following this, participants will be divided into three teams: 1) the intracellular team, which will simulate the stochastic dynamics of biological systems; 2) the intercellular team, which will apply General ODE-based Inference (GOBI) to detect causal relationships between time series data; and 3) the systematic team, which will use machine learning algorithms to analyze wearable data.