​B.S. in Engineering Science, Pennsylvania State University, 2000Ph.D. in Bioengineering, University of California San Diego, 2005

"We are mapping the complex networks that control heart function and failure."

Jeffrey Saucerman, Associate Professor of Biomedical Engineering

Our lab combines computational modeling and high-throughput experiments to discover molecular networks and drugs that control cardiac remodeling and regeneration. Our experimental approaches include high-throughput microscopy and -omic profiling of primary and induced pluripotent stem cell (iPSC)-derived cardiomyocytes. Our computational approaches include large-scale regulatory network modeling and bioinformatic analysis of -omic data. Specific focus areas include:

  • cardiomyocyte hypertrophy and death
  • extra-cellular matrix remodeling by fibroblasts and macrophages
  • cardiomyocyte proliferation


  • Pinn Scholars Award 2018
  • NSF Faculty Early Career Development (CAREER) Award 2013
  • Dean's Excellence in Teaching Award 2012
  • Member, Academy of Distinguished Educators 2012
  • American Heart Association National Scientist Development Grant 2008
  • FEST Distinguished Young Investigator Grant 2007

Research Interests

  • Biomedical Data Sciences
  • Biotechnology and Biomolecular Engineering (Biomolecular Design, Cellular and Molecular Bioengineering)
  • Computational Systems Biology
  • Cardiovascular Engineering
  • Optimization Models and Methods

Selected Publications

  • High-content phenotypic screen for compounds that induce proliferation of human iPSC-derived cardiomyocytes. Circulation 2016;134:A18674. AHA Scientific Sessions Abstract. Woo L, Tkachenko S, Ding M, Plowright AT, Engkvist O, Andersson H, Drowley L, Barrett I, Firth M, Wolf MJ, Bekiranov S, Brautigan DL, Wang QD, *Saucerman JJ.
  • Knowledge gaps to understanding cardiac macrophage polarization following myocardial infarction. Biochim Biophys Acta. 2016 May 27. pii: S0925-4439(16)30129-6. doi: 10.1016/j.bbadis.2016.05.013. [Epub ahead of print] *Lindsey ML, Saucerman JJ, DeLeon-Pennell K.
  • A computational model of cardiac fibroblast signaling predicts context-dependent drivers of myofibroblast differentiation. J Mol Cell Cardiol. 2016 May;94:72-81. Zeigler AC, Richardson WJ, Holmes JW, *Saucerman JJ.
  • Computational modeling of cardiac fibroblasts and fibrosis. J Mol Cell Cardiol. 2016 Apr;93:73-83. PMCID: PMC Journal In Process. Zeigler, AC, Richardson WJ, Holmes JW, *Saucerman JJ.
  • Automated Microscopy of Cardiac Myocyte Hypertrophy: A Case Study on the Role of Intracellular α-Adrenergic Receptors. Methods Mol Biol. 2015; 1234:123-34. Ryall KA, *Saucerman JJ.
  • Integrating fluorescent biosensor data using computational models. Methods Mol Biol. 2014;1071:227-48. Greenwald EC, Polanowska-Grabowska RK, *Saucerman JJ.
  • Modeling the effects of beta1-adrenergic receptor blockers and polymorphisms on cardiac myocyte Ca2+ handling. Mol Pharmacol 2014 May 27. pii: mol.113.090951. [Epub ahead of print] Amanfu RK, Saucerman JJ.
  • A novel MitoTimer reporter gene for mitochondrial content, structure, stress and damage in vivo. J Biol Chem. 2014 Mar 18. [Epub ahead of print] Laker RC, Xu P, Ryall KA, Sujkowski A, Kenwood BM, Chain KH, Zhang M, Royal MA, Hoehn KL, Dirscoll M, Adler PN, Wessells RJ, Saucerman JJ, Yan Z.
  • Phenotypic screen quantifying differential regulation of cardiac myocyte hypertrophy identifies CITED4 regulation of myocyte elongation. J Mol Cell Cardiol 2014 [Epub ahead of print], 10.1016/j.yjmcc.2014.02.013. PMCID: PMC Journal, In Process. Ryall, K. A., V. J. Bezzerides, A. Rosenzwieg, Saucerman JJ.
  • Mechanisms of cyclic AMP compartmentation revealed by computational models. J Gen Physiol. 2014 Jan;143(1):39-48. PMCID: 3874575. Saucerman JJ, Greenwald EC, Polanowska-Grabowska R.
  • PKA catalytic subunit compartmentation regulates contractile and hypertrophic responses to β-adrenergic stimulation. J Mol Cell Cardiol, 2013 Nov 10;66C:83-93.[Epub ahead of print]. PMCID: 3927644. Yang JH, Polanowska-Grabowska RK, Smith JS, Shields CW, Saucerman JJ.

Courses Taught

  • BME 2315 Computational BME
  • BME 4550 Systems Bioengineering Modeling and Experimentation
  • BME 8315 Systems Engineering

Featured Grants & Projects

  • Cardiac hypertrophy

    Dozens of pathways are implicated in cardiac myocyte growth, but little is known about the quantitative contribution of these pathways to myocyte shape, reversibility, sarcomeric organization, or many other factors affecting the progression of heart failure. We are combining high-throughput microscopy, automated image processing, and large-scale network modeling to address these challenges.

  • Cardiac inflammation and extracellular matrix remodeling

    Cardiac macrophages and fibroblasts play important roles in inflammation and wound healing following cardiac injury. Yet systems and therapeutic approaches targeting these cells have been limited. We are collaborating with investigators at UVA and externally to reconstruct the molecular networks in fibroblasts and macrophages in the context of myocardial infarction.

  • Cardiac regeneration

    While cardiac regeneration was once thought to be limited to organisms such newts and zebrafish, recent studies have demonstrated that mammals also have some regenerative capacity. We are combining genomic and high-throughput microscopy experiments with computational models to map the molecular networks and identify compounds that stimulate cardiac myocyte proliferation.