Biography

Our long term goal is to develop credible and reliable computational models of disease states that could by used by clinicians to more effectively treat disease.

My research includes the foillowing broad objectives:

• Use mathematics and computation to help understand the dynamics and operation of cellular processes.
• Develop new more reliable approaches to modeling complex systems such that the models can be used with confidence in clinical settings.
• Disseminate the work to the wider scientific community and support best practices in systems biology modeling multi-scale modeling of subcellular and multicellular systems.

Education

• PhD: Systems Biology, Oxford brookes, UK
• MSc: Biological Computation, University of York
• PGCE: Teaching Degree, University of Aberystwyth
• BSc: Biochemistry/Microbiology, University of Canterbury, UK

Previous appointments

• University of Edinburgh, Department of Genetics, UK

Select publications

1. Medley, M, Choi K, Matthias K, Smith L, Gu S, Hellerstein J, Sealfon SC, Sauro HM Tellurium Notebooks – An Environment for Dynamical Model Development, Reproducibility, and Reuse (2018), PLoS Comp Bio,.
2. Somogyi, ET., JM Bouteiller, JA. Glazier, M König, JK Medley, MH. Swat, and HM. Sauro. “libRoadRunner: a high performance SBML simulation and analysis library.” Bioinformatics 31, no. 20 (2015): 3315-3321.
3. Galdzicki, M, KP. Clancy, E Oberortner, M Pocock, JY. Quinn, CA. Rodriguez, N Roehner et al. “The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology.” Nature biotechnology 32, no. 6 (2014): 545.
4. Kim, KH, H Qian, and HM. Sauro. “Nonlinear biochemical signal processing via noise propagation.” The Journal of chemical physics 139, no. 14 (2013): 10B608_1.
5. Kim, KH., and HM. Sauro. “Adjusting phenotypes by noise control.” PLoS computational biology 8, no. 1 (2012): e1002344.
6. Sauro, HM. Enzyme kinetics for systems biology. 2nd Edition, Future Skill Software, 2012.
7. Sauro, HM. Systems Biology: Introduction to Pathway Modeling, Future Skill Software, 2012.
8. Sleight, SC., BA. Bartley, JA. Lieviant, and HM. Sauro. “In-Fusion BioBrick assembly and re-engineering.” Nucleic acids research 38, no. 8 (2010): 2624-2636.
9. Entus, R, B Aufderheide, and HM. Sauro. “Design and implementation of three incoherent feed-forward motif based biological concentration sensors.” Systems and synthetic biology 1, no. 3 (2007): 119-128.
10. Paladugu, SR., V. Chickarmane, A. Deckard, J. P. Frumkin, M. McCormack, and H. M. Sauro. “In silico evolution of functional modules in biochemical networks.” IEE Proceedings-Systems Biology 153, no. 4 (2006): 223-235.
11. Hucka, M, A Finney, HM. Sauro, H Bolouri, JC. Doyle, H Kitano, AP. Arkin et al. “The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.” Bioinformatics 19, no. 4 (2003): 524-531.
12. Hucka, M, A Finney, HM. Sauro, H Bolouri, JC. Doyle, H Kitano, AP. Arkin et al. “The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.” Bioinformatics 19, no. 4 (2003): 524-531.

Honors & awards

• 2013 University of Washington College of Engineering, Community of Innovators Awards, Faculty Innovator: Teaching & Learning

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