Scott Linderman
Scholar

Scott Linderman

Google Scholar ID: 6mD3I24AAAAJ
Stanford University
Machine LearningComputational Neuroscience
Citations & Impact
All-time
Citations
4,832
 
H-index
32
 
i10-index
52
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • 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