Beckett Sterner

Center for Biology and Society
PO Box 873301
Assistant Professor
TEMPE Campus


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). 


  • 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 2018
Course Number Course Title
BIO 345 Evolution
HPS 615 Biology and Society Lab
BIO 615 Biology and Society Lab
Spring 2018
Course Number Course Title
HPS 314 Philosophy of Science
PHI 314 Philosophy of Science
HPS 512 Philosophy of Science
BIO 615 Biology and Society Lab
HPS 615 Biology and Society Lab
Fall 2017
Course Number Course Title
HPS 615 Biology and Society Lab
BIO 615 Biology and Society Lab
Spring 2017
Course Number Course Title
BIO 590 Reading and Conference
Fall 2016
Course Number Course Title
PHI 420 Topics in Philosophy
BIO 494 Special Topics
HPS 494 Special Topics
PHI 591 Seminar
HPS 598 Special Topics
BIO 598 Special Topics
HPS 615 Biology and Society Lab
BIO 615 Biology and Society Lab