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Beckett Sterner

Assistant Professor
Faculty, Tempe Campus, Mailcode 3301
Biography

Beckett Sterner studies how mathematics is transforming biology, including biodiversity data aggregation, evolution of biological individuality, evolutionary tempo and mode, and methodology in systematic biology. He came to ASU in 2016 as an assistant professor in the Biology and Society Program and affiliated faculty in philosophy.

He started his career working in a computational biology lab studying protein function during college at MIT, and then switched to doing history and philosophy of science for his doctorate at the University of Chicago. He was a National Science Foundation postdoctoral fellow at the Field Museum in Chicago (2012-2014) and a postdoctoral fellow with the University of Michigan Society of Fellows (2014-2016). 

Education
  • Ph.D. in history and philosophy of science, University of Chicago 2012
  • M.Sc. Statistics, University of Chicago 2011
  • M.A. Philosophy, University of Chicago 2009
  • B.S. Mathematics, Massachusetts Institute of Technology 2006

 

Research Interests

My research focuses on the question, “When and why is mathematics useful for biology?” Biologists have determined the sequences of billions of nucleotides in thousands of genomes, and they have measured the expression levels of tens of thousands of genes across numerous species. However, their appetite for data is quickly outrunning their ability to give it theoretical significance. The movement to quantify life, exemplified here by genomics and its descendants, is no simple benefit to biology: at minimum, it poses major challenges for the nature and practice of biological theory. One leading solution is the introduction of computer modeling into biological theorizing, but little consensus exists among biologists on how and when computer modeling helps.  

I investigate these issues by studying the process and outcomes of mathematization — i.e. the consequences of making math indispensable for scientific research. Some new and ongoing projects include: the impact of computational workflows on the methodology and social structure of systematic biology (taxonomy/phylogenetics); big data and principles for managing flawed data aggregation; integrating model selection and hypothesis testing in paleobiology; and incorporating explicit landscape geometry into our theory of population lineages.

Fall 2017
Course NumberCourse Title
HPS 615Biology and Society Lab
BIO 615Biology and Society Lab
Spring 2017
Course NumberCourse Title
BIO 590Reading and Conference
Fall 2016
Course NumberCourse Title
PHI 420Topics in Philosophy
BIO 494Special Topics
HPS 494Special Topics
PHI 591Seminar
HPS 598Special Topics
BIO 598Special Topics
HPS 615Biology and Society Lab
BIO 615Biology and Society Lab