Tamara Fernandez, PhD

Doctor in Statistics, University of Oxford 2018

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Research Interests

My work has been focused on extending modern machine learning techniques to classical statistical problems, in particular to Survival Analysis. To do this, I have worked with kernel methods together with the theory of counting processes to design more robust non-parametric tests that can be applied to the right-censored data framework. As a recent interest I am focused on studying how the techniques I have developed extend to other important statistical problems.

Key Words

Kernel Methods; Non-parametric Statistics; Asymptotic Statistics; Survival Analysis.


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Education/Academic qualification

PhD, University of Oxford

Award Date: 29 Aug 2018


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