Steven B. Haase

Image of Steven B. Haase

Associate Professor of Biology

Our group is broadly interested in understanding the biological clock mechanisms that control the timing of events during the cell division cycle. In 2008, the Haase group proposed a new model in which a complex network of sequentially activated transcription factors regulates the precise timing of gene expression during the cell-cycle, and functions as a robust time-keeping oscillator. Greater than a thousand genes are expressed at distinct phases of the cycle, and the control network itself consists of ~20 components, so this dynamical system is far too complex to understand simply by biological intuition. We rely heavily on the expertise of the Harer group (Dept. of Mathematics, Duke University) for the analysis of complex data, and their understanding of dynamical systems.  Using a collection of tools, including molecular genetics, genomics, mathematical models, and statistical inference, our groups aim to understand how the cell division clock works, how it might be perturbed in proliferative diseases such as cancer, and how the clock components might be targeted for new anti-tumor therapies.  Qualitatively, the clock networks that control the yeast cell cycle look much like the networks controlling circadian rhythms in a variety of organisms. More recently, we have been using our experimental and quantitative approaches to investigate the function of circadian clocks, as well as clocks that control the division and development of pathogenic organisms such as P. falciparum and P. vivax, the causative agents of malaria.

Appointments and Affiliations

  • Associate Professor of Biology

Contact Information:


  • Ph.D. Stanford University, 1993
  • B.S. Colorado State University at Fort Collins, 1985

Courses Taught:

  • BIOLOGY 201L: Gateway to Biology: Molecular Biology
  • BIOLOGY 218: Biological Clocks: How Organisms Keep Time
  • BIOLOGY 293: Research Independent Study
  • BIOLOGY 490S: Special Topics Seminar
  • BIOLOGY 493: Research Independent Study
  • BIOLOGY 728: Genetic Approaches to the Solution of Biological Problems
  • BIOLOGY 791T: Tutorial
  • BIOLOGY 792: Research
  • CMB 778: Genetic Approaches to the Solution of Biological Problems
  • MATH 190: Special Topics in Mathematics
  • MGM 778: Genetic Approaches to the Solution of Biological Problems
  • UPGEN 701: Advanced Topics in Genetics and Genomics
  • UPGEN 778: Genetic Approaches to the Solution of Biological Problems