Phd Candidate
Minneapolis And St. Paul, Minnesota, Us
• Developed genome-scale computational models of plant and microbial metabolism using network modeling approaches and numerical optimization.• Designed algorithms that leveraged multiple independent data sources to improve on state-of-the-art methods and derive biological insights.• Published research in peer-reviewed journals and gave oral presentations at international conferences.Publication list:Krumholz, E. W., & Libourel, I. G. L. (2017). Thermodynamics constraints improve metabolic networks. Biophysical Journal. 113(3), 679-689.Krumholz, E. W., & Libourel, I. G. L. (2015). Sequence-based metabolic network gap-filling reveals the integrality of missing reactions in metabolic networks. Journal of Biological Chemistry, 290(31), 19197–19207.Yang, H., Krumholz, E. W., Brutinel, E. D., Palani, N. P., Sadowsky, M. J., Odlyzko, A. M., Gralnick, J. A., Libourel, I. G. L. (2014). Genome-scale metabolic network validation of Shewanella oneidensis using transposon insertion frequency analysis. PLoS Computational Biology, 10(9), e1003848.VanderSluis B., Hess D. C., Pesyna C., Krumholz E. W., Syed T., Szappanos B., Nislow C., Papp B., Troyanskaya O. G., Myers C. L., Caudy A. A. (2014). Broad metabolic sensitivity profiling of a prototrophic yeast deletion collection. Genome biology, 15, R64.Krumholz, E. W., Yang, H., Weisenhorn, P., Henry, C. S., & Libourel, I. G. L. (2012). Genome-wide metabolic network reconstruction of the picoalga Ostreococcus. Journal of Experimental Botany, 63(6), 2353–62.