Colleen E. Clancy's research interests include computational approaches to reveal mechanisms of normal and pathological excitability in the heart and nervous system. Key areas of research focus include computational approaches to safety pharmacology, autonomic control of the cardiovascular system, multiscale modeling and simulation, machine learning and interdisciplinary approaches to problem solving. A primary goal of the laboratory is to develop new approaches for integration and understanding of the wealth of experimental and clinical data from the atomistic scales to the cardiac rhythm. The Clancy lab is focused on a key challenge of the current research era: To integrate information in order to understand mechanisms of disease and ultimately to predict and facilitate translation of information into development of therapeutic interventions.
B.S., Union College, Schenectady NY 1994
Ph.D., Biophysics, Case Western Reserve University, Cleveland OH 2001
Post-Doc, Biophysics, Columbia University, New York NY 2004
2020 UC Davis School of Medicine Research Award, 2020
Cover image and editorial for “A computational pipeline to predict cardiotoxicity: From the atom to the rhythm.” Circulation Research. This work was featured in 25 other news outlets, 2020
Invited as an Associate Editor for JACC clinical electrophysiology - 4 year term beginning, 2020
NIH Common Fund-SPARC SPARC ‘Micro Lab’ online workshop. Presenter of Predictive Modeling to Inform Development of Bioelectronic Medicine Therapies, January 15th, 2020
Invited ad-hoc reviewer on the Board of Scientific Counselors’ (BSC) for the National Institutes of Health. National Institute of Aging intramural review program, 2019
Invited Session Chair. 11th Congress of the international Society for Autonomic Neuroscience "Intrathoracic Autonomic Neural Networks and Cardiac Control,” Los Angeles CA, 2019
Recipient of the 2018-19 Chancellor’s Achievement Award for Diversity and Community in the Academic Senate Category, 2019
Recipient of the 2018-19 Chancellor’s Achievement Award for Diversity and Community in the Special Recognition Category (team award), 2019
Recipient of the 2018 Deans’ Team Award for Excellence. Recognized for outstanding multi-disciplinary team contributions in the area of Research, 2018
Invited to join the Future State Operating Model/UCPath Program Sponsorship Board, 2018
Invited Multiscale Modeling Consortium Challenge Lead and Presenter. Annual Multiscale Modeling Consortium Meeting. National Institutes of Health. “Implementing virtual clinical trials with multiscale models to predict outcomes,” Bethesda MD, March, 2018
Invited to join the editorial board of The Journal of General Physiology, 2018
Editors Choice for the paper, entitled, “ A computational model approach predicts mechanisms of female sex risk in the setting of arousal-induced arrhythmias,” Journal of Physiology, 2017
Invited NIH reviewer and in person interviewer, for the SPARC program of the NIH Common Fund. Reviewer of applications to develop the SPARC Data and Resource Center, 2017
Invited Symposium. Experimental Biology Annual Meeting. Symposium on Cardiovascular Modeling. “Predictive models for pharmacology: From atom to rhythm,” Chicago IL, April, 2017
Invited Symposium. Biophysical Society Annual Meeting. Symposium on Cardiovascular Modeling. “Computational approaches to safety pharmacology: From atom to rhythm,” New Orleans LA, February, 2017
Invited Keynote. Gordon Research Symposium. “Building an academic career from post-doc to dean’s office in 20 easy steps,” Ventura CA, February, 2017
Study Section Chair and reviewer for the National Institutes of Health. Special Emphasis Panel (ZEB1 OSR-C (M1)) on Multiscale Modeling, 2016
Invited Keynote Speaker. The International Symposium for Frontiers of Interdisciplinary Cardiovascular Research, Tokyo, Japan, July, 2016
Invited Keynote Speaker at the Networking Symposium of the DCR Cluster for Cardiovascular Research, Bern, Switzerland, 2016
Graduated from Executive Leadership in Academic Medicine (ELAM), 2016
Invited Keynote Speaker at the 7th Kananaskis Symposium on Molecular Simulations. At the Barrier Lake Scientific Field Station, Alberta Canada, 2016
Awarded the 2014 Dean’s Excellence in Mentoring Award in the Research Area at the UC Davis School of Medicine, 2015
Invited to join the editorial board of The Journal of Physiology, 2015
Selected as a fellow for the 2015-16 Class for Executive Leadership in Academic Medicine (ELAM), 2015, 2016
Appointed as Chair of the University of California Senate Committee on Affirmative Action, Diversity and Equity (UCAADE), 2015
Yang PC, DeMarco KR, Aghasafari P, Jeng MT, Dawson JRD, Bekker S, Noskov SY, Yarov-Yarovoy V, Vorobyov I, Clancy CE. A Computational Pipeline to Predict Cardiotoxicity: From the Atom to the Rhythm. Circulation Research. 2020 Apr 10;126(8):947-964. doi:10.1161/CIRCRESAHA.119.316404. Epub 2020 Feb 24. PMID:32091972.
Miranda WE, DeMarco KR, Guo J, Duff HJ, Vorobyov I, Clancy CE, Noskov SY. Selectivity filter modalities and rapid inactivation of the hERG1 channel. Proc Natl Acad Sci USA. 2020 Feb 11;117(6):2795-2804. pii:201909196. doi:10.1073/pnas.1909196117. PMID:31980532.
Kernik DC, Morotti S, Wu HD, Garg P, Duff HJ, Kurokawa J, Jalife J, Wu JC, Eleonora Grandi, Clancy CE. A computational model of induced pluripotent stem-cell derived cardiomyocytes incorporating experimental variability from multiple data sources. Journal of Phsyiology. 2019 Sep;597(17):4533-4564. doi:10.1113/JP277724. Epub 2019 Jul 27. PMID:31278749.
Nguyen PT, DeMarco KR, Vorobyov I, Clancy CE, Yarov-Yarovoy V. Structural basis for antiarrhythmic drug interactions with the human cardiac sodium channel. Proceedings of the National Academy of Sciences. 2019 Feb 19;116(8):2945-2954, PMID:30728299.
Yang PC, Purawat S, Ieong PU, Jeng MT, DeMarco KR, Vorobyov I, McCulloch AD, Altinas I, Amaro RE, Clancy CE. A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows. PLoS Comput Biol. 2019 Mar;15(3):e1006856. Published online 2019 Mar 8. doi:10.1371/journal.pcbi.1006856. PMID:30849072.
Yang P-C, Wang Y, Perissinotti LL, Kurokawa J, DeMarco KR, Jeng M-T, Noskov SY, Harvey RD, Clancy CE. A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias. Journal of Physiology. J Physiol. 2017 Jul 15;595(14):4695–4723. Published online 2017 Jun 14. doi:10.1113/JP273142. PMID:28516454. Editors Choice.