Martin Zwick

Martin Zwick First joined 2016 - Now Title Professor Affiliation Systems Science Ph.D. Program at Portland State University Interest in SIGs Systems Theory, Philosophy, Artificial Life, Theoretical Biology, Macromolecular Structure, Jewish Thought Degree(s) Ph.D. in Biophysics from MIT Field(s) of study Systems Science, Biophysics University(ies) MIT (Ph.D.), Portland State University (Professor) Specialization(s) Discrete Multivariate Modeling, Systems Theory and Philosophy, Artificial Life/Theoretical Biology Notable Awards or Achievements Contributions to governance activities, publications, presentations, honors, grants, and fellowships Links To Fill

Martin Zwick has joined ISSS in 19XX. He/She is .....

Academia and Career

Martin Zwick is a Professor of Systems Science at Portland State University. His first position after his PhD in Biophysics from MIT was in the Department of Biophysics and Theoretical Biology at the University of Chicago where he continued mathematical and computational research on macromolecular structure.

When his interests shifted to systems theory and methodology, he joined the faculty of the Systems Science Program and later served for a number of years as program head. Beyond his work in systems science as such, he has applied systems ideas and methods to a wide variety of topics in the natural and social sciences, computer science and engineering, biomedicine and health, and the humanities. For the breadth and depth of his scholarly work he was recognized with the university’s award for research excellence.

His recent interests have been in machine learning (especially probabilistic graphical modeling), theoretical biology and Artificial Life, and systems theory and philosophy. Scientifically, his focus is on applying systems theory and methodology to the sciences. Philosophically, his focus is on how systems ideas relate to classical and contemporary philosophy and how they help us understand and address societal problems.

Selected Publications

• Zwick, M. (2015). “Exploratory Modeling of Traumatic Brain Injury.” Brain Trauma Evidence-based Consortium (B-TEC) meeting, Bethesda, June 9-10, 2015.

• Zwick, M. (2015). “Exploratory Modeling of TBI Data.” Brain Trauma Evidence-based Consortium (B-TEC) meeting, San Francisco, Jan 28-29, 2015.

• Zwick, M., Fusion, J., and Wilmot, B. (2012). “Reconstructability of Epistatic Functions.”  Journal of Molecular Engineering and Systems Biology. Doi: 10.7243/2050-1412-1-4

• Kramer, P., Westaway, S., Zwick, M., and Shervais, S. (2012) "Reconstructability Analysis of Genetic Loci Associated with Alzheimer Disease." IEEE 6th International Conference on Soft Computing and Intelligent Systems and13th International Symposium on Advanced Intelligent Systems, SCIS-ISIS2012, Kobe, Japan, Nov. 20-24, 2012.

• Zwick, M. (2011). “Reconstructability Analysis of Epistasis.” Annals of Human Genetics, vol. 75, issue 1, pp. 157-171. DOI: 10.1111/j.1469-1809.2010.00628.x.

• Shervais., S., Kramer, P., Westaway, S., Cox, N., and Zwick M. (2010). “Reconstructability Analysis As A Tool For Identifying Gene-Gene Interactions In Studies Of Human Diseases.” Statistical Applications in Genetics and Molecular Biology. vol. 9, issue 1.

• Wilmot, B., Zwick, M., and McWeeney, S. (2008). “Reconstructability Analysis Detects Genetic Variation Associated with Gene Expression.” 12th QTL-MAS Workshop in Computational Genetics, Uppsala, Sweden, May 15-16.

• Zwick, M. (2007). “Using Reconstructability Analysis for Input Variable Reduction: A Business Example.” 2007 IEEE International Conference on Information Reuse and Integration (IEEE IRI-2007), Las Vegas, July 13-15, 2007.

• Wright, A., Ricciardi, T., and Zwick, M. (2005). “Application of Information-Theoretic Data Mining Techniques in a National Ambulatory Practice Outcomes Research Network.” American Medical Informatics Association annual symposium, Washington DC, Oct. 22-26.