{"id":1955,"date":"2026-09-08T12:30:27","date_gmt":"2026-09-08T16:30:27","guid":{"rendered":"https:\/\/admin.acceleratingscience.com\/?post_type=contributor&#038;p=1955"},"modified":"2026-09-08T17:25:12","modified_gmt":"2026-09-08T21:25:12","slug":"manivannan-manimozhi","status":"publish","type":"contributor","link":"https:\/\/admin.acceleratingscience.com\/contributor\/manivannan-manimozhi\/","title":{"rendered":"Manivannan, Manimozhi"},"content":{"rendered":"\n<p> Manimozhi Manivannan is Associate Director of Bioinformatics &amp; Data Science at Thermo Fisher Scientific, where Mani leads computational strategy and bioinformatics innovation for genomics and molecular biology technologies. With more than 14 years of experience, Mani has worked at the intersection of biology, data science, and product development, helping translate emerging genomic technologies into scalable scientific and commercial solutions. Throughout a career spanning targeted sequencing, single-cell multi-omics, molecular diagnostics, PCR technologies, and genomic surveillance, Mani has developed bioinformatics algorithms, analytical methods, and AI-enabled workflows that support assay design, biological interpretation, and decision-making. Research contributions include peer-reviewed publications in leading scientific journals, including <em>Nature<\/em>, as well as patent applications focused on genomics, machine learning, and bioinformatics.<\/p>\n","protected":false},"featured_media":1956,"template":"","meta":{"_acf_changed":true,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_monsterinsights_skip_tracking":false,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":""},"expertise":[],"class_list":{"0":"post-1955","1":"contributor","2":"type-contributor","3":"status-publish","4":"has-post-thumbnail","6":"entry"},"acf":{"first_name":" Manimozhi","last_name":"Manivannan","display_name":" Manimozhi Manivannan","credentials":"M.S., Bioinformatics","job_title":"Associate Director, Bioinformatics &amp; Data Science, Thermo Fisher Scientific","company":"Thermo Fisher Scientific","short_description":" Manimozhi Manivannan is a bioinformatics and computational biology leader with more than 14 years of experience developing genomics technologies, molecular assay solutions, and AI-enabled scientific workflows across sequencing, PCR, single-cell analysis, and genomic surveillance.","education":"M.S., Bioinformatics, Rochester Institute of Technology B.Tech., Biotechnology, Government College of Technology, Coimbatore","email_address":"","linkedin_profile":"https:\/\/www.linkedin.com\/in\/manimozhi-m-51487140","x_profile":"","external_link":"","headshot":1956,"accomplishments":"Contributed to the development of genomics technologies spanning targeted sequencing, single-cell multi-omics, molecular diagnostics, and genomic surveillance.\r\n\r\nDeveloped bioinformatics algorithms and AI-enabled workflows for assay design, genomic analysis, and biological interpretation.\r\n\r\nCo-inventor on patent applications related to single-cell genomics, machine learning-guided assay optimization, and bioinformatics technologies.\r\n\r\nAuthored and co-authored peer-reviewed publications in genomics, computational biology, and molecular diagnostics, including publications in Nature.","publications":[{"author_name":"","publication_date":"2020","publication":"Nature","article":"Single-cell mutation analysis of clonal evolution in myeloid malignancies","pages":"","link":"https:\/\/www.nature.com\/articles\/s41586-020-2864-x"},{"author_name":"","publication_date":"2015","publication":"Neoplasia","article":"Development and validation of a scalable next-generation sequencing system for assessing relevant somatic variants in solid tumors","pages":"","link":"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC4415141\/"},{"author_name":"","publication_date":"2023","publication":"Frontiers in Public Health","article":"Cross-sectional Ct distributions from qPCR tests can provide an early warning signal for the spread of COVID-19 in communities","pages":"","link":"http:\/\/frontiersin.org\/journals\/public-health\/articles\/10.3389\/fpubh.2023.1185720\/full"}],"recognitions":null,"certifications":null},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Articles by Manivannan, Manimozhi , Accelerating Science<\/title>\n<meta name=\"description\" content=\"Manimozhi Manivannan is Associate Director of Bioinformatics &amp; 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