Current affiliation:
Allen Institute, Neural Dynamics
Seattle, WA, USA
I am a Scientist II at the Allen Institute in Seattle, WA, developing machine learning and dynamical systems approaches for modeling complex behavioral and neural systems. My work focuses on recurrent neural networks, probabilistic and state-space modeling, representation learning, and statistical methods for extracting structure from large-scale, high-dimensional datasets. Prior to joining the Allen Institute, I completed my PhD in Electrical and Computer Engineering at the University of Florida.
Current Focus:
- Dynamic routing in the brain using low-rank recurrent neural networks and attractor analysis.
- Circuit-level analysis of context representation and multi-region interactions in decision-making.
- State-based modeling of neuronal variability across stimulus, behavior, and internal states.
I am a Scientist II at the Allen Institute in Seattle, WA, developing machine learning and dynamical systems approaches for modeling complex behavioral and neural systems. Prior to joining the Allen Institute, I completed my PhD in Electrical and Computer Engineering at the University of Florida.