Catalina Vallejos

Contact details

Email: cvallejos 'at' turing.ac.uk

Twitter: @CataVallejosM

Google Scholar

Currently recruiting PhD students



I am a Research Fellow at The Alan Turing Institute and at the UCL Department of Statistical Science.

From May 2018, I will lead a research group at the MRC Human Genetics Unit (University of Edinburgh). Get in touch if you would like to discuss available opportunities and potential collaborations.

My research focuses on Bayesian statistical methodology, mostly driven by biomedical applications. An overarching goal of my work is to provide open-source tools to analyse high-dimensional datasets with complex structure.

My current research interests include

  • High-dimensional Bayesian hierarchical models
  • Statistical models for count-based datasets
  • Statistical models for time-to-event data
  • Statistical genomics
  • Electronic Health Records research


For software, please visit my Github repository

LATEST NEWS & EVENTS:

16-Dec Presenting at the 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (London) - Session organised by Miguel de Carvalho

05-Dec Presenting at the European Bioconductor 2017 meeting (Cambridge)

30-Nov Presenting at the CHICAS seminar (Lancaster)

16-Nov Presenting at the S3RI seminar (Southampton) - VIDEO

31-Oct Bioconductor 3.6 has been released

17-Oct BASiCS is now available in Bioconductor

14-Oct Presenting at the Oxford Computational Statistics and Machine Learning seminar

11-Oct Launch of 2018/19 call for PhD students at the Alan Turing Institute

Short CV

As part of my Turing Fellowship, I was also a Group Leader within the Lloyds Register Foundation-Turing Programme on Data-Centric Engineering (until November 2017).

Before joining the Turing (October 2016), I was a joint Postdoctoral Researcher as part of the research groups led by Prof Sylvia Richardson (MRC Biostatistics Unit, University of Cambridge) and Dr John Marioni (EMBL European Bioinformatics Institute & Cancer Research UK Cambridge Institute). My research focused on the development, implementation and application of Bayesian statistical methodology in the context of single cell gene expression data.

Before moving to Cambridge, I was a PhD student at the Department of Statistics of the University of Warwick, under the supervision of Prof Mark Steel. My PhD thesis covered theoretical and practical aspects of Bayesian inference and survival analysis. Previously, I did a BSc in Mathematics (Statistics track, Minor in Economics) at the Faculty of Mathematics of the Pontificia Universidad Católica de Chile. Additionally, I completed a MSc in Statistics at the same university. My dissertation project related to long memory time times, under the supervision of Prof Wilfredo Palma.

Postal address: The Alan Turing Institute, British Library, 96 Euston Road, NW1 2DB, London