Aidan Daly
Interests
Bayesian inference, approximate Bayesian computation (ABC), model identifiability, cardiac cell modeling, optimal experimental design, reproducible research, community standards
Biography
B.A. in Computer Science, Secondary in Molecular and Cellular Biology - Harvard University 2013
D.Phil, Oxford University, Deparment of Computer Science, 2018
Selected Publications
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Use of Bayesian Inference for Parameter Recovery in DC and AC Voltammetry
A.M. Gavaghan D.J. Cooper J.C. Daly A.C. Gill C. Gillow K. Robinson M. Simonov A.N. Zhang J. Bond
2017.
Details about Use of Bayesian Inference for Parameter Recovery in DC and AC Voltammetry | BibTeX data for Use of Bayesian Inference for Parameter Recovery in DC and AC Voltammetry
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Comparing two sequential Monte Carlo samplers for exact and approximate inference on biological models
C. Daly A.C. Cooper J.C. Gavaghan D.J. Holmes
2017.
Details about Comparing two sequential Monte Carlo samplers for exact and approximate inference on biological models | BibTeX data for Comparing two sequential Monte Carlo samplers for exact and approximate inference on biological models
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Hodgkin−Huxley revisited:reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods
J.C. Daly A.C. Gavaghan D.J. Holmes C. Cooper
2015.
Details about Hodgkin−Huxley revisited:reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods | BibTeX data for Hodgkin−Huxley revisited:reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods