Postdoc Flexible sensory processing in whole-brain circuits This is an ongoing research project investigating how the brains of larval zebrafish flexibly process incoming sensory information. I use cross-decomposition methods (Reduced Rank Regression) to investigate how populations of neurons share information to drive behavior. Lab database and compute ecosystem Full stack development of an intergrated lab database and compute system that allows users to easily log/query experimental data and provides tools for performing automated, standardized data analysis pipelines in a high performance computing environment. PhD Decoding-based dimensionality reduction (dDR) dDR is a supervised dimensionality reduction method that we developed during my PhD to perform robust decoding analysis from finite data samples. fun PCA - Derivations and extensions In this project, I explore different methods for performing Principal Component Analysis with the goal of providing a deeper intuitive understanding of the method and its applicability to data science problems.