Dr. Ovidiu Lipan
Associate Professor of Physics
Pre-Engineering Advisor
Profile

Biology is still an uncharted territory from a quantitative point of view and thus opens to new fundamental discoveries. Before Newton, the phenomena of mechanical motion were not understood in their simple fundamental form. Likewise in Molecular Biology we are in a pre-Newtonian time. There are many phenomena for which we do not have a quantitative principle. Moreover, until very recently (~ the year 2000) the experimental approach was focused on a single gene at a time. However, a living organism function only through the interaction of thousands of genes; and these interactions are precisely regulated in time. The need to study more than one gene at a time gave birth to the field of Systems Biology.

My research is focused on connecting the experimental facts with quantitative laws in Systems Biology. In the wet lab, we design the experiments to respond to a quantitative hypothesis about gene interactions. The theoretical approach is based on the use of stochastic processes to understand the signal propagation in genetic networks.

For undergraduate students Systems Biology with its quantitative laws is a new and exciting field of study. Students are welcome to participate in these experimental and/or theoretical projects.

Publications
Articles
L. Matekovits, A. De Sabata and O. Lipan, "Band splitting in 2D EBG structure by geometry modulation," 2015 IEEE International Symposium on Antennas and Propagation, Vancouver, BC, 2015, pp. 1590-1591.
A. De Sabata, L. Matekovits and O. Lipan, "Enrichment of EBG contents of periodic structures by geometry modulation," Electromagnetics in Advanced Applications (ICEAA), 2015 International Conference, Turin, 2015, pp. 1613-1616.
D.M. Popescu and O.Lipan,” A Kramers-Moyal Approach to the Analysis of Third-Order Noise with Applications in Option Valuation” ,PloS One 10, no. 1 January 2015
O. Lipan, “Stochastic genetic networks with solvable structures ” American Institute of Physics Conf. Proc. 1637 , 582 (2014)
O. Lipan “ Differential Equations and Chemical Master Equation Models for Gene Regulatory Networks” Encyclopedia of Molecular Life Sciences, peered-reviewed volume in a new series that will be published by Springer. Accepted, September 2012
J. Cates, G. Graham, N. Omattage, E. Pavesich, I. Setliff, J. Shaw, C. L. Smith and O. Lipan, “Sensing the Heat Stress by Mammalian Cells” BMC Biophysics, 2011
G. Graham and O. Lipan, “The Effect of Coupled Stochastic Processes in a Two-State Biochemical Switch” Journal of Biological Physics, 2011
DOI: 10.1007/s10867-011- 9226-8.
Lester Caudill, April Hill, Kathy Hoke, and Ovidiu Lipan, “Impact of Interdisciplinary Undergraduate Research in Mathematics and Biology on the Development of a New Course Integrating 5 STEM Disciplines”, CBE-Life Sciences Education, May 2010.
O. Lipan. “Molecular Biocircuits”, Modern Physics Letters B, Vol. 23, No. 6  (2009) 773–789.
Achimescu S., Lipan, O. (2006) Signal propagation in nonlinear stochastic gene regulatory networks. IEE Systems Biology, v. 153.
O. Lipan. “Enlightening Rhythms” (2008), Science, Vol. 319. no. 5862, pp. 417 – 418.
Lipan, O., Wong, W. (2005) The use of oscillatory signals in the study of genetic networks. Proceedings of the National Academy of Sciences of the United States of America, v. 102.
Sauvageot, C., Dahia, P., Lipan, O., Park, J., Chang, M., Alberta, J., & Stiles, C.D. (2005) Distinct temporal genetic signatures of neurogenic and gliogenic cues in cortical stem cell cultures. Journal of Neurobiology, v. 62, issue 1, 121-133.
Storch, K., Lipan, O., Leykin, I., Viswanathan, N., Davis, F., Wong, W., & Weitz, C. (2002) Extensive and divergent circadian gene expression in liver and heart. Nature, v. 417, 78-83.
Lipan, O., & Rasinariu, C. (2002) Baxter T-Q equation for shape invariant potentials. The finite-gap potentials case. Journal of Mathematical Physics, v. 43, 847.
Lipan, O. (2001) Baxter operator for Hofstadter-Harper Hamiltonians. Nuclear Physics B, v.604, issue 3, 603-615.
Lipan, O. (2000) Bandwith statistics from the eigenvalue moments for the Harper-Hofstadter problem. Journal of Physics A: Mathematical and General, v. 33, 6875-6888.

Education
Ph.D., The University of Chicago
Contact Information
(804) 287-6670
(804) 484-1542 (Fax)
Areas of Expertise
Systems Biology
Signal propagation in genetic networks
Mammalian cells behavior under stress (experimental wet lab approach)
Mathematical formulation of genetic systems in interaction