Stephen J. Merrill - Professor of
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Major Research Interests
models in immunology utilizing a variety of methods including differential
equations and stochastic techniques
role of randomness in dynamical systems
mechanism of action of medicinal herbs
- Nanotoxicology and the toxicology of novel compounds
released from medical devices
of UV with HPV-associated cancer
Education and Visiting Positions
Current and Recent Research
of the role of cofactors in an HIV infection ( this work has been reviewed
in New Scientist 6 September, 1997, p. 12 : HIV's
chain analysis of heart rate variability and hypotensive events
description of immune reconstitution after stem cell transplantation with
St. Luke's Hospital in Milwaukee
in the HCV genome with the Blood Research
Center in Milwaukee
of the microarray
the creative process
changes in the neurological exam with age
imaging – registration and 3D information from a fluoroscopic image (patent)
- Hashmitoto’s thyroiditis and thyroid cancer
- UV and
cancer of the throat and cervix (reviewed (in Swedish) here)
Malignant Melanoma (CMM) incidence
Recent Talks, Abstracts, and Posters
Immunological Methods (vol. 374 issues 1-2) in November 2011 :
High-throughput methods for immunology: Machine
learning and automation
This is one of the first
collections of papers in the new field of “Immunomics”,
a subfield of Bioinformatics.
The issue also reported the results
of the machine learning competition on prediction of HLA class I binding peptides.
Most Recent Publications
Merrill, R.J. DeBoer, and A.S. Perelson, Development of the T-cell repertoire: clone
size distribution, Rocky Mt. J. Math., 24 (1994) 213-231.
Merrill and J. R. Cochran, Markov chain methods in the analysis of heart
rate variability, Fields Institute Comm., 11 (1997) 241-252.
Root-Bernstein and S.J. Merrill, The necessity of cofactors in the
pathogenesis of AIDS: A mathematical model, J. Theor.
Biol., 187 (1997) , 135-146.
Merrill and R.S. Root-Bernstein, A model of the role of cofactors in the
initiation and development of AIDS, Can. Appl. Math.
Quarterly, 6 (1998), 173-185.
Merrill, Computational Models in immunological methods: an historical
review, J. Immunol. Meth., 126
(1998) ,69-92. web-version
Murphy, S.J. Merrill, and A. LeFever, The
engraftment kinetics of white blood cells and platelets following
peripheral blood stem cell transplantation, Proceedings of the International
Conference on Scientific Computing & Mathematical Modeling, Milwaukee,
WI, June 2000, 209-212.
Root-Bernstein and S.J. Merrill, Etiology and Pathogenesis of AIDS, in AIDS
and Complementary and Alternative Medicine, L.J. Standish, C. Calabrese,
and M.L. Galantino (eds.), Churchill-Livingstone
Merrill and S.E. Merrill, Introductory biological sequence analysis
through spreadsheets, Proc. of 13th ICTCM, Atlanta,
GA, Addison-Wesley (2002), 246-249. Powerpoint slides
Wang, T. Bian, S.J. Merrill, and D.D. Eckels, Sequence variation in the gene encoding the
non-structural 3 protein of hepatitis C virus: Evidence for immune
selection, J. Mol. Evol. 54 (2002),
Merrill and B.M. Murphy, Detecting autocatalytic dynamics in data modeled
by a compartmental model, Math. Biosci. 180
Merrill, Solving problems: perchance to dream, in ICTMA 11:
Mathematical Modelling: A Way of Life, S.J. Lamon,
W.A. Parker, and S.K. Houston (eds.), Chichester,
UK: Horwood Publishing, Ltd. (2003), 97-105.
Merrill, S. Nelson, and C.A. Struble, Spatial dependence of hybridization
in the cDNA microarray, Can.
Appl. Math. Quarterly 11 (2003), 321-337.
Merrill, The stochastic dance of early HIV infection, J. Comp. Appl.
Math. 184 (2005), 242-257.
Merrill, To again feel the creative voice, Int. J. of Sci. and Math.
Ed., 5 (2007), 145-164.
Merrill, B. Myklebust, J. Myklebust, N. Reynolds, and E. Duthie, A Poisson-like model of sub-clinical signs
from the examination of healthy aging subjects, Aging Clinical and
Experimental Research, 20 (2008), 368-375.
Tick, S. Merrill, and A. Huber, Sheepish: Health store as healing
sanctuary, Explore: The Journal of Science and Healing, 4
- J. Blimke, J. Myklebust, H. Volkmer,
S. Merrill, Four-shell ellipsoidal model employing multipole expansion in
ellipsoidal coordinates, Medical & Biological Engineering &
Computing, 46 (2008), 859-869.
Merrill, The state of the science of nonlinear dynamics in 1963, Nonlinear Dynamics, Psychology and Life
Sciences, 13 (2009)
Iqbal Ahamed, Dennis Brylow, Rong Ge, Praveen Madiraju, Steve Merrill, Craig
Struble, and Jim Early, Computational Thinking in the Sciences: A Three
Day Workshop For High School Science Teachers, In Proceedings of SIGCSE
2010: The 41st ACM Technical Symposium on Computer Science Education,
pages 42-46, Milwaukee, Wisconsin, March 2010.
Merrill, Markov Chains for identifying nonlinear dynamics, Chapter 17 in Nonlinear
Dynamical Systems Analysis for the Behavioral Sciences Using Real Data,
Stephen J. Guastello and Robert A.M. Gregson,
eds., CRC Press, 2010, 401-423.
- S. S.
Kiware, N. Chitnis, S. J. Moore, G. J. Devine,
S. Majambere, S. Merrill, and G. F. Killeen, Simplified models of vector
control impact upon malaria transmission by zoophagic
mosquitoes, PLoS ONE, 7(5):e37661 (2012) doi:10.1371/journal.pone.0037661
Pandiyan, S.J. Merrill, and S. Benvenga, A patient-specific model of the
negative-feedback control of the hypothalamus–pituitary–thyroid (HPT) axis
in autoimmune (Hashimoto’s) thyroiditis, Mathematical Medicine and Biology (2013) doi:10.1093/imammb/dqt005
R., Shannon White, J. Goode, P. Pradeep, and Stephen J. Merrill. Use of
QSAR Modeling to Predict the Carcinogenicity of Color Additives. Proceedings of the ASME/FDA 2013 1st
Annual Frontiers in Medical Devices: Applications of Computer Modeling and
Simulation. September 2013
Adibuzzaman, G. Kramer, L. Galeotti, S. Merrill,
D. Strauss, C.G. Scully, The mixing rate of the arterial blood pressure
waveform Markov Chain is correlated with Shock Index during hemorrhage in
anesthetized swine, EMBC’14, August 2014, paper TD03.7.
Godar, R. Tang, and S.J. Merrill, Pharyngeal and cervical cancer
incidences significantly correlate with personal UV doses among whites in
the United States, Anticancer
Research 34: 4993-5000
Merrill, S. Ashrafi, M. Subramanian, and D.E.
Godar, Exponentially increasing incidences of cutaneous malignant melanoma
in Europe correlate with low personal annual UV doses and suggests two
major risk factors, Dermato-Endocrinology, to appear (2015).
Pradeep, C. Struble, T. Neimman,
D. Sem, and S. Merrill, A novel scoring based
distributed protein docking application to improve enrichment, IEEE/ACM Transactions on
Computational Biology and Bioinformatics, to appear (2015).
1988 Xuncheng Huang Mathematical analysis
of population models
1992 Ondine Harris The Polymerase Chain Reaction: A Stochastic Model,
Methods of Quantification, and Applications to HIV
1993 Zhixiong He Mathematical models of muscle response to periodic
1996 Xing Wu Dynamical systems in the modeling of lampry fictive swimming
2001 Brian Murphy Modeling the time to engraftment of white blood
cells and platelets following
autologous peripheral blood stem cell transplantation
2008 Shivani Ratnakumar Markov chain modeling of ECG gated live
left atrial fluoroscopy variability
to establish a
well-defined basis for rigid registration to a 3D CT image
Pandiyan Mathematical modeling
and dynamical analysis of the operation of the
axis in autoimmune (Hashimoto’s) thyroiditis
Pradeep Hybrid computational
toxicology models for regulatory risk assessment
Current Doctoral Students
Mohammad Adibuzzaman Smart
physiological monitors (with Sheikh Iqbal Ahamed)
Casey O’Brien The cleanability of
reusable medical devices
Stephen J. Merrill
Department MSCS Cudahy Hall
P.O. Box 1881