Xiaochun Ni

Xiaochun Ni

Senior Principal Scientist, Computational Biology @ Bristol Myers Squibb

About Xiaochun Ni

Xiaochun Ni is a Senior Principal Scientist in Computational Biology at Bristol Myers Squibb, with extensive experience in genetics and functional genomics.

Current Role at Bristol Myers Squibb

Xiaochun Ni is currently employed as a Senior Principal Scientist in Computational Biology at Bristol Myers Squibb. In this capacity, he works within the Division of Genetics, focusing on advancing computational biology methodologies to support the company's genetic research initiatives.

Previous Experience at Celgene

Between 2016 and 2020, Xiaochun Ni served as a Senior Scientist in Computational Biology at Celgene. There, he worked in the Department of Genetics, contributing to the company's research in computational biology across various genetic contexts.

Academic Experience at Harvard University and Brigham and Women's Hospital

From 2012 to 2016, Xiaochun Ni held a postdoctoral fellowship at both Harvard University Medical School and Brigham and Women's Hospital. In these roles, he was part of the Department of Genetics and Division of Genetics, respectively, conducting postdoctoral research to advance knowledge in genetic studies.

Educational Background and Research at University of Chicago

Xiaochun Ni pursued his higher education at the University of Chicago, earning an MS in Statistics and a PhD in Genetics, Genomics, and Systems Biology from 2005 to 2011. Additionally, he worked as a Postdoctoral Scholar at the Institute for Genomics and Systems Biology and the Department of Human Genetics from 2006 to 2012.

Expertise in Computational Biology and Genomics

Xiaochun Ni has notable expertise in integrating high-dimensional big data, including next-generation sequencing (NGS), single-cell analysis, large-scale imaging, and mass spectrometry. His skill set encompasses advanced statistical modeling and machine learning methods, as well as extensive experience in functional genomics and molecular biology.

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