Biography
I am doing my PhD at HHMI Janelia Research Campus as part of the joint graduate program with Johns Hopkins university. My current work focuses on developing neural encoding models using mouse behavioral data to characterize non-visual information in the mouse visual cortex.
I have developed machine learning tools to study large-scale neuroscience datasets for behavior and neural activity. I developed Facemap for predicting activity of ~50,000 neurons recorded with 2-photon calcium imaging in mice. Facemap predicted activity driven by mouse orofacial movements across different cortical regions. It includes a pose estimation model for tracking distinct keypoints on the mouse face and a neural network model for predicting neural activity using the pose estimates. I also developed a segmentation tool using the Facemap model for tracking soft-body objects like the mouse tongue. Facemap provides state-of-the-art performance for tracking mouse orofacial movements with a processing speed several times faster than existing models, making it a powerful tool for real-time experimental interventions.
Projects
- Facemap: pose tracking and neural activity prediction model
- Segmentation model for soft-body object (tongue)
- Rastermap (GUI)
Research interests
- Computational neuroscience
- Deep learning

