John Harer

John Harer

Professor of Mathematics

Professor Harer's primary research is in the use of geometric, combinatorial and computational techniques to study a variety of problems in data analysis, shape recognition, image segmentation, tracking, brain imaging, biological networks and gene expression.

Appointments and Affiliations

  • Professor of Mathematics

Contact Information

Education

  • Ph.D. University of California at Berkeley, 1979
  • B.A. Harvard University, 1974

Research Interests

Professor Harer's primary research is in the use of geometric, combinatorial and computational techniques to study a variety of problems in data analysis, shape recognition, image segmentation, tracking, brain imaging, biological networks and gene expression.

Courses Taught

  • BIOLOGY 218: Biological Clocks: How Organisms Keep Time
  • MATH 190: Special Topics in Mathematics
  • MATH 221: Linear Algebra and Applications
  • MATH 573S: Modeling of Biological Systems
  • MATH 611: Algebraic Topology I
  • MATH 790-90: Minicourse in Advanced Topics
  • MATH 799: Special Readings

Representative Publications

  • Perea, JA; Deckard, A; Haase, SB; Harer, J, SW1PerS: Sliding windows and 1-persistence scoring; discovering periodicity in gene expression time series data., BMC Bioinformatics, vol 16 (2015) [abs].
  • Farr, RS; Harer, JL; Fink, TM, Easily repairable networks: reconnecting nodes after damage., Physical Review Letters, vol 113 no. 13 (2014) [abs].
  • Turner, K; Mileyko, Y; Mukherjee, S; Harer, J, Fr├ęchet Means for Distributions of Persistence Diagrams, Discrete & Computational Geometry, vol 52 no. 1 (2014), pp. 44-70 [10.1007/s00454-014-9604-7] [abs].
  • Perea, JA; Harer, J, Sliding Windows and Persistence: An Application of Topological Methods to Signal Analysis, Foundations of Computational Mathematics, vol 15 no. 3 (2014), pp. 799-838 [10.1007/s10208-014-9206-z] [abs].
  • Topp, CN; Iyer-Pascuzzi, AS; Anderson, JT; Lee, CR; Zurek, PR; Symonova, O; Zheng, Y; Bucksch, A; Mileyko, Y; Galkovskyi, T; Moore, BT; Harer, J; Edelsbrunner, H; Mitchell-Olds, T; Weitz, JS; Benfey, PN, 3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture., Proceedings of the National Academy of Sciences of USA, vol 110 no. 18 (2013), pp. E1695-E1704 [10.1073/pnas.1304354110] [abs].