Raghav Tandon

EmbedGEM evaluates embeddings for genetic discovery by assessing heritability and disease relevance using polygenic risk scores and genome-wide association statistics.

This paper introduces AutoLFADS, an automated framework for estimating neural population dynamics from neural data without supervisory information, validated on multiple datasets.

This paper introduces RADICaL, a deep learning framework that infers single-trial neural population dynamics from calcium imaging with sub-frame temporal resolution, showing improved accuracy in synthetic and real mouse data.