Clare Bates Congdon

Associate Professor of Computer Science


228 Science and 2nd floor BioSciences Wing (Note: two offices!)

Office Hours Fall 2013

By Appointment

Contact Information

Phone: 12072288441

I earned my PhD and MS in Computer Science and Engineering from the University of Michigan, and BA in Mathematics from Wesleyan University. My area of specialization is in Machine Learning and Data Mining, and especially Evolutionary Computation, with particular application to both Bioinformatics and Intelligent Agents.

I am also an Adjunct Associate Professor at the Mount Desert Island Biological Lab, where I do research in the summers.

Interested in independent-study projects?

  • I enjoy working with motivated students on independent study projects relating to my interests, particularly in bioinformatics and evolutionary computation (which includes the agents work). I'll also consider projects such as scientific modelling, visualization, or interactive art.
  • I am also often able to employ students to help with bioinformatics research, particularly in the summers.

Research Interests

Articifial Intelligence, Robotics, Bioinformatics, Gaming

Recent Publications

Genetic Algorithms and Motif Inference:

  • Clare Bates Congdon, Joseph Aman, Gerardo M. Nava, H. Rex Gaskins, Carolyn Mattingly, "An Evaluation of Information Content as a Metric for the Inference of Putative Conserved Noncoding Regions in DNA Sequences Using a Genetic Algorithms Approach," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 5, no. 1, pp. 1-14, Jan-Mar, 2008. (Available online.)
  • Clare Bates Congdon, Joseph Aman, H. Rex Gaskins, Gerardo M. Nava, Carolyn Mattingly, "Towards Interactive Visualization for Exploring Conserved Motifs in Non-coding DNA Sequence", Proceedings of Frontiers in the Convergence of Bioscience and Information Technologies 2007 (FBIT 2007), IEEE Press, October 2007.
  • Congdon CB, Fizer CW*, Smith NW*, Gaskins HR, Aman J*, Nava GM, Mattingly C (2005). "Preliminary Results for GAMI: A Genetic Algorithms Approach to Motif Inference" Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB-2005), La Jolla, California, November 2005. (Available online.)

Genetic Algorithms and Phylogenetics:

  • Clare Bates Congdon, "Phylogenetic Inference Using Evolutionary Algorithms", in Computational Intelligence in Bioinformatics, Gary B. Fogel, David W. Corne, Yi Pan (eds.), Wiley-IEEE Press, December 2007. (Book information online.)
  • C. B. Congdon and K. J. Septor*, "Phylogenetic Trees Using Evolutionary Search: Initial Progress in Extending Gaphyl to Work with Genetic Data", Congress on Evolutionary Computation (CEC-2003), Canberra, Australia, December 2003. pdf
  • C. B. Congdon, "Gaphyl: An Evolutionary Algorithms Approach for the Study of Natural Evolution", Genetic and Evolutionary Computation Conference (GECCO-2002), New York, NY, July 2002. (Best paper award, Real-World Applications track.) postscript pdf
  • C. B. Congdon, "Gaphyl: A Genetic Algorithms Approach to Cladistics", Principles and Practice of Knowledge Discovery in Databases (PKDD 2001), Freiburg, Germany, September, 2001. In L. DeRaedt, A. Siebes (eds.), Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science, Vol. 2168, Springer-Verlag, Berlin, pp 67-78.
  • C. B. Congdon, "An Evolutionary Algorithms Approach to Phylogenetic Tree Construction", in Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations, Grana, M.; Duro, R.; d'Anjou, A.; Wang, P.P. (Eds.), Springer, p 99-116, 2005.

Other Bionformatics A. E. Christie, D. H. Nolan, Z. A. Garcia, M. D. McCoole, S. M. Harmon, B. Congdon-Jones, P. Ohno, N. Hartline, C. B. Congdon, K. N. Baer, P. H. Lenz, "Bioinformatic prediction of arthropod/nematode-like peptides in non-arthropod, non-nematode members of the Ecdysozoa", General and Comparative Endocrinology 170 (2011) 480–486. (Available online.)


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