Atishay Jain Source Confirmed

OverviewAI-generated summary

Atishay Jain, a PhD candidate at John Brown University, applies computational methods to diverse research areas, including genomics, image processing, and materials science. His work in genomics and chromatin dynamics incorporates deep learning to enhance Hi-C resolution and spatial transcriptomics analysis. This includes developing nested graph neural networks for improved spatial transcriptomics clustering and diffusion-based representation integration for foundation models. Jain also investigates image and signal denoising, with a focus on memory-efficient semantic segmentation of large microscopy images using graph-based neural networks. His additional research interests include welding techniques, cancer-related molecular mechanisms, and phylogenetic studies.

Metrics

• h-index: 2
• Publications: 7
• Citations: 25