Ana Paula Palacios

Dr Ana Paula Palacios BSc, MSc, PhD, FHEA

Senior Lecturer in Statistics

Ana Paula’s research interests are in the development, application and dissemination of statistical and machine learning methods. Her research focusses on stochastic processes, Markov chain Monte Carlo algorithms and Bayesian methods.  She has participated in various multidisciplinary projects in fields such as biology, language, criminology and industrial applications.

Before joining Greenwich, Ana Paula was a Lecturer at Plymouth University and earlier at Universidad Carlos III de Madrid, where she also obtained here PhD with cum laude distinction in October 2012.

Ana Paula is a leader and founding member of the Science Practice Hub, a space for researchers across faculties to reflect on science practices and share expertise with the aim to strength the capability of research. In this role, she promotes the use of data science in cross-disciplinary research and regularly organises workshops on quantitative methods.

Ana Paula is a HEA fellow with broad teaching experience in both undergraduate and postgraduate level. Students have nominated her multiple times for the teaching excellence award. Building on her knowledge and experience in data science, she has recently become the academic liaison between the University of Greenwich and the Turing University Network.

Mathematics

Responsibilities within the university

University of Greenwich's Academic Turing liaison

Module leader for:

  • Analysis of Data
  • Probability and Randomness
  • Bayesian Methods and Their Applications
  • MMath Project

Recognition
  • Fellow of HEA
  • External Examiner: London Metropolitan University (2023-2027)

Research / Scholarly interests

My research interests are mainly focused on the following areas:

  • Bayesian Statistics
  • Stochastic Processes
  • Markov Chain Monte Carlo Methods
  • Applied Statistics

Recent publications

Article

Abdul Kareem, Razia Sulthana , Frost, Nageena, Goodall, Iain, Tilford, Timothy , Palacios, Ana Paula (2024), Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Engineering and Technology Publishing. In: , , , . Engineering and Technology Publishing, Journal of Advances in Information Technology, 15 (10) . pp. 1174-1183 ISSN: 1798-2340 (Print), 1798-2340 (Online) (doi: https://doi.org/10.12720/jait.15.10.1174-1183).

Jolliffe, Darrick , Farrington, David P., Brunton-Smith, Ian, Loeber, Rolf , Ahonen, Lia , Palacios, Ana Paula (2018), Depression, anxiety and delinquency: Results from the Pittsburgh Youth Study. Elsevier. In: , , , . Elsevier, Journal of Criminal Justice, 62 . pp. 42-49 ISSN: 0047-2352 (Print), (doi: https://doi.org/10.1016/j.jcrimjus.2018.08.004).

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