Lin Tang
About Lin Tang
Lin Tang is a Principal Computational Biologist at Celgene in Summit, New Jersey, with extensive experience in bioinformatics and computational biology, specializing in drug discovery and development.
Current Role at Celgene
Lin Tang is the Principal Computational Biologist at Celgene, operating out of Summit, New Jersey, United States. In this capacity, Tang has been involved with Celgene since August 2011. The role involves providing bioinformatics analysis support specifically for drug discovery and development. Tang works on data mining various types of genomic data to provide functional insights into drug mechanisms of action, with a particular focus on precision in therapeutic interventions.
Previous Experience at Sequenom and Aviaradx
Before joining Celgene, Lin Tang gained valuable experience at Sequenom as a Scientist, advancing to Scientist II and Senior Scientist between 2007 and 2011 in Westborough, Massachusetts. Additionally, Tang served as a Bioinformatics Scientist at Aviaradx from 2005 to 2007. These roles contributed significantly to Tang's expertise in computational biology and bioinformatics.
Educational Background
Lin Tang has a robust educational background. Tang earned a Bachelor of Science from Nankai University and a Doctor of Philosophy in Biology from Wayne State University. Additionally, Tang studied Biology at The Johns Hopkins University School of Medicine. This educational foundation has been pivotal in developing Tang's expertise in computational biology and translational science.
Expertise in Computational Biology
Lin Tang possesses extensive experience in computational biology, specializing in modern data visualization techniques, single-cell sequencing, and next-generation sequencing. Tang's work involves developing and applying computational methods to understand complex biological data. With a strong focus on cancer genomics and genetics, Tang identifies biomarkers crucial for drug development and contributes to research spanning oncology, immunology, and cardiovascular diseases.
Collaborative Research and Global Initiatives
Lin Tang is actively involved in collaborative research initiatives with academic institutions and research organizations worldwide. Tang's research focuses on leveraging data analytics to enhance precision in therapeutic interventions and improving health outcomes for underserved populations. This work is a part of a broader effort to bridge the gap between laboratory research and patient care through translational medicine.