I am a DPhil student in the Computational Cardiovascular Science Group at the University of Oxford, supervised by Blanca Rodriguez and Ana Micholé, and initially by Nando de Freitas. I am interested in extracting information from cardiovascular data using computational techniques such as machine learning and multiscale modelling. I was a Visiting Scientist at the MGH & BWH Center for Clinical Data Science in 2017.
Previously I studied Machine Learning at the University of Edinburgh supervised by Chris Williams, Medicine at King’s College London, and Computer Science at the University of Birmingham supervised by Jeremy Wyatt. I was an intern researcher at INRIA in 2013, supervised by Ben Smyth and Elizabeth Quaglia.
I have worked in industry as a Lead Software Engineer at a bank and at VideoLAN, Director of Technology for a cyber security company in Dubai, and a System Management Specialist for a healthcare IT company.
Adam McCarthy, Blanca Rodriguez, and Ana Mincholé. “Variational Inference over Non-differentiable Simulators using Bayesian Optimization” ML4H+DLPS Workshops, NIPS. 2017.
Adam McCarthy and Christopher K.I. Williams. “Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers” Machine Learning for Health Workshop, NIPS. 2016. (Poster)
Adam McCarthy, Ben Smyth, and Elizabeth A. Quaglia. “Hawk and Aucitas: e-auction schemes from the Helios and Civitas e-voting schemes” International Conference on Financial Cryptography and Data Security. 2014.
An Evaluation of Sliding Window and Recurrent Predictors for the Classification of ICU Time Series
MSc Dissertation, University of Edinburgh, 2016
Reinforcement Learning in Continuous State and Action Spaces
BSc Dissertation, University of Birmingham, 2009
“Developing Deep-Learning Models in the Hospital: A Case Study on the Center for Clinical Data Science”. Partners Healthcare/NVIDIA. 2017