Abhibhav Sharma

Abhibhav Sharma is a Postdoctoral Fellow at the Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU). His research focuses on public health, specifically predicting and characterizing cancer through multi-omic profiles using advanced statistical and machine learning methodologies.

His research spans cancer bioinformatics, computational biology, and public health applications. Key interests include multi-omics integration for cancer subtyping, spatial transcriptomics in tumor microenvironments, machine learning for biomarker discovery in neurodegenerative diseases, and environmental health modeling. His work bridges computational methods with clinical oncology and epidemiology.

Publication trends reveal a dominant focus on cancer multi-omics (breast/prostate), with significant contributions in neurodegenerative disease modeling and pandemic response. His methodology consistently combines machine learning with high-dimensional biological data, emphasizing spatial transcriptomics and metabolomics for cancer prognosis. Recent work shows increasing sophistication in microenvironment analysis and cross-disease biomarker identification.

Sharma actively engages with the scientific community through presentations at major conferences including the Nordic Metabolomics Society, Annual International Conference of the Metabolomics Society, and European Society for Dermatological Research meetings. His outreach demonstrates strong collaboration within international biobank initiatives like UK Biobank and HUNT3.