Dr. Segre's research interests include distributed algorithms for discrete optimization problems, with emphasis on algorithmic problems in the biological sciences. This work has included protein structure prediction, high-performance computational algorithms in statistical genetics, and, most recently, graph-theoretic epidemiological modeling and cryptographic protocols for multi-site clinical studies. He is a long-standing collaborator of Dr. Vieland's and an integral member of the computational development team in The Research Institute at Nationwide Children's Hospital Center for Quantitative and Computational Biology.
Professor, Interdisciplinary Genetics Graduate Program, The University of Iowa
2003–present
Professor and Associate Chair, Department of Computer Science and Professor, Program in Applied Mathematical and Computational Sciences, The University of Iowa
2003–present
Associate Director, Center for Statistical Genetics, The University of Iowa
2003–2006
Professor, Program in Public Health Genetics, The University of Iowa
2001–2003
Professor, Department of Management Sciences, Department of Computer Science, and Program in Applied Mathematical and Computational Sciences, The University of Iowa
1999–2000
Visiting Professor, Istituto di Matematica Computazionale, Consiglio Nazionale delle Ricerche (Pisa, Italy)
1997–1999
Visiting Professor, Scuola Matematica Interuniversitaria, Consiglio Nazionale delle Ricerche, Universita di Perugia (Perugia, Italy)
1994–2001
Associate Professor, Department of Management Sciences, Department of Computer Science and Program in Applied Mathematical and Computational Sciences, The University of Iowa
1987–1994
Assistant Professor, Department of Computer Science, Cornell University
The Autism Genome Project Consortium. Mapping autism risk loci using genetic linkage and chromosomal rearrangements. Nat Genet 39(3):319-328. 2007. PubMed ID: 17322880
George AW, Mangin LA, Bartlett CW, Logue MW, Segre AM and Vieland VJ. Calculation of multipoint likelihoods using flanking marker data: A simulation study. BMC Genetics 6:S44. 2005. PubMed ID: 16451655
Segre AM, Forman S, Resta G and Wildenberg A. Nagging: A scalable, fault-tolerant distributed search paradigm. Artificial Intelligence 140:1-2:71-106. 2002.
Kim S and Segre AM. AMASS: A structured pattern matching approach to shotgun sequence assembly. Journal of Computational Biology 6(2):163-186. 1999. PubMed ID: 10421521