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Upamanyu Ghose
PhD Student, Department of Psychiatry, University of Oxford
Upamanyu Ghose is a DPhil student and research scientist at the University of Oxford, specializing in the application of machine learning and deep learning techniques to genomic data within the field of neuroscience. He is a member of the bioinformatics team in the Translational Neuroscience and Dementia Research Group, where his work focuses on understanding genetic factors associated with neurodegenerative diseases, particularly Alzheimer's disease.
Education and Research Focus
- Academic Background: Upamanyu completed his MSc in Computer Science at Oxford and is currently pursuing his DPhil, where he develops machine learning methods to analyze multi-omic data related to Alzheimer's disease.13
- Research Interests: His primary research involves using artificial neural networks (ANNs) to enhance traditional genome-wide association studies (GWAS). This approach aims to uncover non-linear patterns and interactions among genetic loci that standard linear models might miss. His work seeks to address the challenge of unexplained heritability in Alzheimer's disease by identifying novel genetic signals.12
Notable Contributions
- Genome Wide Association Neural Networks (GWANN): Upamanyu has introduced a novel methodology called GWANN, which integrates neural networks into GWAS. This method has successfully identified several known and potentially new genes linked to family history of Alzheimer's disease in large datasets like the UK Biobank.24
- Publications: He has contributed to various scientific publications, including studies that explore the relationship between genetic factors and neurodegenerative diseases, emphasizing the potential of machine learning in biomedical research.145
Professional Affiliations
- Upamanyu is affiliated with the Department of Psychiatry at the University of Oxford and is actively involved in research that combines computational biology with clinical insights into dementia and neurodegenerative disorders.16
Through his innovative research, Upamanyu Ghose is contributing significantly to the understanding of genetic influences on Alzheimer’s disease, leveraging advanced computational techniques to bridge gaps in current scientific knowledge.
Highlights
Nov 22 · pubmed.ncbi.nlm.nih.gov
Genome-wide association neural networks identify genes linked to ...
Jun 14 · medrxiv.org
Genome wide association neural networks (GWANN) identify novel ...
