Albert Gough, PhD

Group Leader of Informatics and Cell Analysis, Drug Discovery Institute, Associate Professor of Computational and Systems Biology

Albert Gough, PhD

Office: W947 BST
Phone: 412-383-5915

Department of Computational and Systems Biology


PhD in Biology/Biophysics, Carnegie Mellon University

Presently my research is focused in 2 areas. First, is the development of, and computational analysis of data from a microfluidic 3D human liver model that uses fluorescent reagents, reporter cells (sentinels) and probes for direct functional readouts. Analyses of a broad array of real-time and off-line biochemical, mass spectrometric, and high content assays are used to profile functional effects and to develop predictive models. To support the modeling we have developed a microphysiology systems database ( where we are collecting the necessary reference data. A second major area of research is on the relationship between cellular heterogeneity, compound mechanism(s) of action and cell signaling pathways. We developed and published three indices that are used to quantify heterogeneity, and a QC metric for comparing and monitoring the consistency of the cellular distributions in assays, screens and large scale biology projects.

  1. Vernetti LA, Senutovitch N, Boltz R, DeBiasio R, Ying Shun T, Gough A, Taylor DL. A human liver microphysiology platform for investigating physiology, drug safety, and disease models. Exp Biol Med (Maywood). 2016;241(1):101-14. doi: 10.1177/1535370215592121. PubMed PMID: 26202373; PMCID: PMC4723301.
  2. Spagnolo DM, Gyanchandani R, Al-Kofahi Y, Stern AM, Gough A, Meyer DE, Ginty F, Sarachan B, Fine J, Lee AV, Taylor DL, Chennubhotla SC. Pointwise Mutual Information Quantifies Intra-Tumor Heterogeneity in Tissue Sections Labeled with Multiple Fluorescent Biomarkers. Journal of Pathology Informatics. 2016: In press.
  3. Gough A, Vernetti L, Bergenthal L, Shun TY, Taylor DL. The Microphysiology Systems Database for Analyzing and Modeling Compound Interactions with Human and Animal Organ Models. Applied In Vitro Toxicology. 2016;2(2):103-17. doi: 10.1089/aivt.2016.0011.
  4. Gough A, Shun TY, Lansing Taylor D, Schurdak M. A metric and workflow for quality control in the analysis of heterogeneity in phenotypic profiles and screens. Methods. 2016;96:12-26. doi:
  5. Gough A, Lezon T, Faeder JR, Chennubhotla C, Murphy RF, Critchley-Thorne R, Taylor DL. High-Content Analysis with Cellular and Tissue Systems Biology: a Bridge between Cancer Cell Biology and Tissue-Based Diagnostics. In: Mendelsohn J, Howley PM, Israel MA, Gray JW, Thompson C, editors. The molecular basis of cancer. 4th ed. Philadelphia, PA: Saunders/Elsevier; 2015. p. 369-92.