Sathish Periyasamy
Queensland Centre for Mental Health Research, King Abdullah International Medical Research Center, Cardiff University, Keele University, University of Colombo
0000-0002-8132-5717
About
Research fellow in psychiatric genetics who is eager to build a career in Systems/Genomic Medicine and conduct research in systems psychiatry and biological complexity to study the mechanisms of (patho-)physiological processes in biological systems using a unique combination of educational experience coupled with over twenty years of computer programming and ten years of computational biology experience in biomedicine.
• Hold a PhD Degree in Bioinformatics (Computational Systems Biology), Master’s Degree in Information Technology. Post Graduate Diploma in Computer Science and Bachelor’s Degree in Natural Sciences (Major: Chemistry and Computer Science; Sub: Biology)
• Experience working in chemical, biological and medical domains.
• Dedicated to basic and applied research to facilitate translational systems biology.
• Research interest in systems genetics, network biology, interactomics, phenomics, multi-scale modelling of biological systems, genome dynamics, biological noise, cellular reprogramming, and formalization of disease ontologies
Education
Employment
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Queensland Centre for Mental Health Research Research Fellow2014 - Present
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King Abdullah International Medical Research Center Associate Research Scientist2011 - 2014
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Cardiff University Teaching Assistant - Part time2005 - 2010
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University Hospital of North Staffordshire Research Assistant2003 - 2004
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Keele University Students' Union Web Assistant - Part time2002 - 2003
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Keele University Demonstrator - Part time2002 - 2003
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Open University of Sri Lanka Demonstrator2000 - 2002
Education
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Cardiff University PhD2005 - 2010
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Keele University MSc2002 - 2003
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University of Colombo Pg.Dip2001 - 2002
Projects & Funding
Projects & funding information is unavailable.
Publications (38)
- Investigation Of De Novo Mutations In Schizophrenia Affected Indian Families Save
- Structural, Behavioral, and Symptomatic Predictors of Risk Allele Frequency at rs10866912 Save
- Genetic interactions of schizophrenia using gene-based statistical epistasis exclusively identify nervous system-related pathways and key hub genes Save
- Schizophrenia Genetic Interaction Save
- Investigating The Genetic Interactions Of Schizophrenia Using Gene-based Statistical Epistasis Save
- Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations Save
- Investigating brain development using tissue and single-cell gene expression data Save
- Genome-wide association studies in schizophrenia Save
- Mapping genomic loci implicates genes and synaptic biology in schizophrenia Save
- BrainDevo: spatio-temporal gene regulation repository of brain development Save