Contributed to the development of state space models (SSMs) tailored for neural data, including recurrent switching linear dynamical systems (rSLDS) and Gaussian process SLDS
Co-developed GIMBAL, a probabilistic model for 3D keypoint tracking (Zhang et al., 2021)
Co-developed Keypoint MoSeq (Weinreb et al., 2024), integrating GIMBAL and MoSeq to extract behavioral syllables directly from keypoint trajectories
Developed software packages SSM and Dynamax (Linderman et al., 2024) for practitioners and researchers
Co-authored multiple publications including Linderman et al. (2017), Hu et al. (2024), Costacurta et al. (2022), Nair et al. (2023), Liu* et al. (2024), among others