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John R. Jungck, Ph.D.
- BISC 195 - Evolution
I am a theoretical biologist who specializes in molecular evolution, evolutionary bioinformatics, image analysis, and mathematical biology education. My interests are deeply involved with various aspects of promoting interdisciplinary work: science, technology, and society; history, philosophy, and social studies of biology; art and science (STEAM – putting art in Science, Technology, Engineering, and Mathematics); numeracy (quantitative reasoning); Citizen Science and Participatory Democracy; international collaboration (International Union of Biological Sciences); mathematics and science education (PBL, collaborative learning, open ended investigations, strategic simulations for learning long-term strategies of research, problem solving, interdisciplinary education, progressive cyberlearning); and, promoting diversity and student retention. I was the co-founder of the BioQUEST Curriculum Consortium (<http://bioquest.org>). Many of the computer software packages that I have co-developed are available through that website. Much of my career has included serving the community as an editor of journals that range from the Bulletin of Mathematical Biology, Evolutionary Bioinformatics, and BioSystems to Biology International, Bioscene: Journal of College Biology Teaching, the American Biology Teacher, and the American Journal of Undergraduate Research.
Image analysis of cell division of Drosophila melaganaster and Arabidopsis thaliana with computational geometry (Voronoi tessellations), graph theory (Delaunay triangulations, Pitteway violoations, minimal spanning trees, nearest neighbor networks, Ulam trees, Eulerian circuits, Hamiltonian pathways, DeBruijn graphs), and spatial statistics. We are also looking at polygonal tessellations on polyherdral radiolarians. Much of this work involves scientific visualization via 3D microscopy, 3D scanning, 3D and 4D printing, and 3D projection.
Phylogenetic tree and network analysis of the evolution of protein targets of anti-cancer drugs and the general problem of the evolution of resistance to cancer chemotherapy. Much of this work involves bioinformatics data mining of large complex data bases and developing software for testing evolutionary hypotheses (split decomposition, new metrics for scoring multiple sequence alignments based on Hamiltonian distances of 4D hypercube representations of genetic coding, matrix algebra analyses of gene expression data, interval graph analyses for motif detection and transitivity ordering in systems biology, combinatorics of genome rearrangements, and network visualization).
Graph theoretic analysis of food webs via community ecology analysis of niche space, trophic levels, and energy flux.
Development of computer simulations called strategic simulations for learning long-term strategies of research (primarily in genetics, evolution, biochemistry, and bioinformatics) and complex databases of original research data (most famously BIRDD: Beagle Investigations Return with Darwinian Data – on the Galapagos Finches) that are more easily probed by students with multivariate statistics and multidimensional visualization.
- Rama Viswanathan, Beloit College (graph theory, computer science)
- Noppadon Khiripet, NECTEC (Bangkok, Thailand) (graph theory, computer science)
- Roger Wagner, University of Delaware (histologist, microscopist)
- Anton Weinstein, Truman State University (population genetics, bioinformatics)
- Vince Streif, University of Wisconsin Madison (graph theory, computer science)
- Sijia Liang and Yang Yang, University of Minnesota (statistics)
- Peter Lockhart, Massey University (New Zealand) (molecular evolution)
- Peter Biro, Centre for Ecological Research, Balaton Limnological Institute, Hungarian Academy of Sciences (community ecology)
- Kristin Jenkins, University of Wisconsin Madison; Stacey Kiser, Lane Community College (Oregon); Ethel Stanley, Three Rivers Community College (Missouri); and Sam Donovan (University of Pittsbugh) (BioQUEST Curriculum Consortium)
- Jungck, John R., and Anton E. Weisstein, (2013). Mathematics and evolutionary biology make bioinformatics education comprehensible. Briefings in Bioinformatics 14 (5): 599-609.
- Schneider, Maria Victoria , and John R. Jungck. (2013). International, interdisciplinary, multi-level bioinformatics training and education. Briefings in Bioinformatics 14 (5): 527.
Jungck, John R. (2013). Artful Science: From STEM to STEAM. Biology International 53: 3-6.
Jungck, John R. (2013). Genesis of What Is Life?: A Paradigm Shift in Genetics History. CBE Life Science Education 9: 201–211 (Fall). Reprinted in “Highlights of 2013” hardcopy printed issue: pages 31-32.
Jungck, John R. (2012). Mathematics Make Microbes Beautiful, Beneficial, and Bountiful. In Sima Sariaslani and Geoffrey M. Gadd, Editors. Advances in Applied Microbiology, Volume 80, Pages 37-80. ISBN: 978-0-12-394381-1
Khiripet, Noppadon, Wongarnet Khantuwan, and John R. Jungck. (2012). Ka-me: a Voronoi image analyzer. Bioinformatics 28 (13): 1802-1804.
Jungck, John R. (2012). Global Conservation Education: Participatory, Open, and Place-Based Approaches to Outreach. Biology International 50: 3-4.
Jungck, John R. (2012). If Life is Analog, Why Be Discrete? Middle-Out Modelling in Mathematical Biology. In Rubem P Mondaini, Editor. BIOMAT 2011 World Scientific: Singapore, pages 376-391. ISBN-13: 9789814397704
Jungck, John R. (2012). “Incorporating Quantitative Reasoning in Common Core Courses: Mathematics for The Ghost Map.” Numeracy: Advancing Education in Quantitative Literacy, Volume 5, Issue 1, Article 7, pages 1-32.
Khiripet, Noppadon, R. Viruchpintu, Jutarat Maneewattanapluk, Jenifer Spangenberg. and John R. Jungck. Morphospace: Measurement, Modeling, Mathematics, and Meaning. Mathematical Modeling of Natural Phenomena 6 (6): 54-81.
Jungck, John R. (2011). “Mathematical Biology Education: Modeling Makes Meaning.” Mathematical Modeling of Natural Phenomena 6 (6): 1-21.
Jungck, John R., Samuel S. Donovan, Anton E.Weisstein, Noppadon Khiripet, and Stephen J. Everse. (2010). “Bioinformatics education dissemination with an evolutionary problem solving perspective.” Briefings in Bioinformatics 11 (6): 570-581.
Robic, Srebrenka, and John R. Jungck. (2010). “Unraveling the Tangled Complexity of DNA: Combining Mathematical Modeling and Experimental Biology to Understand Replication, Recombination and Repair.” Mathematical Modeling of Natural Phenomena 6 (2): 108-135.
Jungck, John R., Holly Gaff, and Anton E. Weisstein. (2009). “Mathematical Manipulative Models: In Defense of Beanbag Biology.” CBE—Life Sciences Education Vol. 9, 201–211, Fall 2010
Jungck, John R., Holly D. Gaff, Adam P. Fagen, and Jay B. Labov. (2010). “Beyond BIO2010: Celebration and Opportunities” at the Intersection of Mathematics and Biology.” CBE Life Sci Educ 2010 9:143-14.
Jungck, John R. (2009). Genetic Codes as Codes: Towards a Theoretical Basis for Bioinformatics. In Rubem Mondani, ed., BIOMAT 2008. World Scientific: Singapore, pages 300-337.
Jungck, John R. (2009), But is it mathematics or biology or education? Mathematical Biology Newsletter 23 (1): 10-11 (Winter).
Director, Interdisciplinary Science Learning Center
Joint Appointment, Department of Mathematical Sciences
Affiliated Faculty, Computational Biology and Bioinformatics
Phone: (302) 831-6400
Office: 402 Interdisciplinary Science and Engineering Lab
Lab: 409 Interdisciplinary Science and Engineering Lab
Interdisciplinary Science and Engineering Lab Room 402
221 Academy Street
University of Delaware
Newark, DE 19716
- B.S. - University of Minnesota: Biochemistry and Mathematics
- M.S. - University of Minnesota: Genetics, Microbiology
- Ph.D. - University of Miami: Evolution, Molecular and Cellular Biology
- D.Sc. honoris causa - University of Minnesota