Xingjun Liu is a Principal Scientist at Johnson & Johnson, where they utilize expertise in bioinformatics and data science to identify novel drug targets and biomarkers through the analysis of large-scale multi-omics data. They develop auto-workflows to support non-clinical safety and translational studies while conducting integrative research projects in neuroscience and genomics. Previously, Xingjun served as a Senior Product Manager at QIAGEN Digital Insights, generating disease-specific data and developing data curation tools. They earned a PhD in Genetics from the National University of Singapore and hold certifications in pandas, R Programming, and Machine Learning and AI Foundations.
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