Nick Wisniewski
Computational Biologist
Computational Biology
Verge Genomics
India
Biography
Nick is a data scientist with over a decade of experience developing novel statistical models for the analysis of complex datasets. Prior to joining Verge, Nick was an assistant adjunct professor in statistics at UCLA, where he developed a novel algorithm for the statistical inference of networks. He completed a BS in physics from Caltech, Ph.D. in biophysics / statistical physics from UCLA, and a Bioinformatics postdoc from UCLA. He has co-authored over ten publications focused on the application of machine learning, physics, and statistics towards complex biological problems.
Research Interest
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