Back to Index
Paul Macklin, PhD
Assistant Professor of Research Medicine
CSC 248 Health Sciences Campus Los Angeles
+1 626 372 1203


*update* Please note that I have moved to Intelligent Systems Engineering at Indiana University.

Paul Macklin is is a mathematician and an assistant professor at the Center for Applied Molecular Medicine at the University of Southern California. Our lab works to develop and validate sophisticated models of cancer in individual patients. We work in tightly-integrated teams of clinicians, modelers, and biologists to develop computational tools that will one day help improve clinical planning.

Dr. Macklin is leading development of standardizations for computational and experimental model data, which will help computational modelers to share, extend, refine, and recombine cancer models into sophisticated cancer simulators. A novel component of this work is the digital cell line: an extensible, standardized representation of a cell line, its physical and behavioral characteristics (phenotype), and necessary microenvironmental conditions. A library of digital cell lines will allow modelers and experimentalists to more easily share insights and measurements on cancer and other cells, and incorporate these into simulations.


Phi Beta Kappa: Member, 1999

University of California, Irvine, School of Physical Sciences: Outstanding Contributions to the Department of Mathematics Award, 2007

University of California, Irvine, Department of Mathematics: Dissertation Fellowship, 2007

UTH SBMI: John P. McGovern Award for Outstanding Teaching, 2009

Barry M. Goldwater Scholarship

University of California, Irvine, Department of Mathematics: Connelly Award, 2007

University of California, Irvine, Department of Mathematics: Kovalevsky Outstanding PhD Thesis Award, 2007

Graduate Assistance in Areas of National Need (GAANN): Fellowship, 2007


Ghaffarizadeh A, Friedman SH, Macklin P. BioFVM: an efficient, parallelized diffusive transport solver for 3-D biological simulations. Bioinformatics. 2016 Apr 15; 32(8):1256-8. View in: PubMed

Macklin P, Frieboes HB, Sparks JL, Ghaffarizadeh A, Friedman SH, Juarez EF, Jonckheere E, Mumenthaler SM. Progress Towards Computational 3-D Multicellular Systems Biology. Adv Exp Med Biol. 2016; 936:225-246. View in: PubMed

Poleszczuk J, Macklin P, Enderling H. Agent-Based Modeling of Cancer Stem Cell Driven Solid Tumor Growth. Methods Mol Biol. 2016; 1516:335-46. View in: PubMed

D'Antonio G, Macklin P, Preziosi L. An agent-based model for elasto-plastic mechanical interactions between cells, basement membrane and extracellular matrix. Math Biosci Eng. 2013 Feb 1; 10(1):75-101. View in: PubMed

Hyun AZ, Macklin P. Improved patient-specific calibration for agent-based cancer modeling. J Theor Biol. 2013 Jan 21; 317:422-4. View in: PubMed

Mumenthaler SM, D'Antonio G, Preziosi L, Macklin P. The Need for Integrative Computational Oncology: An Illustrated Example through MMP-Mediated Tissue Degradation. Front Oncol. 2013; 3:194. View in: PubMed

Macklin P, Edgerton ME, Thompson AM, Cristini V. Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): From microscopic measurements to macroscopic predictions of clinical progression. J Theor Biol. 2012 May 21; 301:122-40. View in: PubMed

Hatzikirou H, Chauviere A, Bauer AL, Leier A, Lewis MT, Macklin P, Marquez-Lago TT, Bearer EL, Cristini V. Integrative physical oncology. Wiley Interdiscip Rev Syst Biol Med. 2012 Jan; 4(1):1-14. View in: PubMed

Deisboeck TS, Wang Z, Macklin P, Cristini V. Multiscale cancer modeling. Annu Rev Biomed Eng. 2011 Aug 15; 13:127-55. View in: PubMed

Edgerton ME, Chuang YL, Macklin P, Yang W, Bearer EL, Cristini V. A novel, patient-specific mathematical pathology approach for assessment of surgical volume: application to ductal carcinoma in situ of the breast. Anal Cell Pathol (Amst). 2011 Jan 1; 34(5):247-63. View in: PubMed

Macklin P, McDougall S, Anderson AR, Chaplain MA, Cristini V, Lowengrub J. Multiscale modelling and nonlinear simulation of vascular tumour growth. J Math Biol. 2009 Apr; 58(4-5):765-98. View in: PubMed

Macklin P, Lowengrub JS. A New Ghost Cell/Level Set Method for Moving Boundary Problems: Application to Tumor Growth. J Sci Comput. 2008 Jun 1; 35(2-3):266-299. View in: PubMed

Macklin P, Lowengrub J. Nonlinear simulation of the effect of microenvironment on tumor growth. J Theor Biol. 2007 Apr 21; 245(4):677-704. View in: PubMed

Frieboes HB, Lowengrub JS, Wise S, Zheng X, Macklin P, Bearer EL, Cristini V. Computer simulation of glioma growth and morphology. Neuroimage. 2007; 37 Suppl 1:S59-70. View in: PubMed

Powered bySC CTSI