Mehak

Bindra

I'm working Dr. Zhang  to develop deep learning frameworks for single cell multi-modal, multi-batch, multi-condition data integration, specifically designing Variational Autoencoder (VAE) models to eliminate technical batch effects in scRNA-seq datasets while preserving biological signals such as drug response, disease severity or species-specific factors.

I'm also working with the McGrath Lab to construct a reliable pan-genome reference graph for Lake Malawi Cichlids by leveraging Pacbio HiFi reads, ONT ultra-long reads and Optical Genome Mapping (OGM) data to capture genomic diversity across all eco-morphological groups.