AEPsych is a platform for modeling and active learning targeting live, human-in-the-loop experiments related to human perception and preferences. It is built on state-of-the-art tools including PyTorch, GPyTorch and BoTorch, and provides both a platform for new algorithm development and benchmarking (e.g. Letham et al, AISTATS 2022) and the deployment of models and algorithms into real user studies (e.g. Wu et al. SID Display Week 2022; Guan et al., SIGGRAPH to appear). Our demonstration will showcase a suite of interactive preference-based tuning and psychometric field estimation demos, including in VR.