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Detelina Grozeva

Dr Detelina Grozeva

Research Associate - Statistics

School of Medicine

Overview

I am a Statistician (Research Associate) at the Centre for Trials Research (CTR). My background is in both Medical Statistics and Human Genetics.

I completed my PhD in Cardiff University in human genetics. My doctoral research training was on a specific type of genetic variation called copy number variation, investigating if such genetic variants are associated with bipolar disorder and schizophrenia. I then joined Cambridge University to work with Professor Lucy Raymond to identify and understand the genetic causes of severe rare Intellectual Disability by analysing next generation sequencing data of a large cohort of patients. Apart from finding cause of disease in previously undiagnosed patients based on known mutations, we also identified novel genes that contribute to Intellectual disability. During my postdoctoral position in Cambridge, I became interested in how scientific discoveries and novel treatments can be implemented in improving health and quality of life for patients, and that is why I started a part-time MSc in Statistics with Medical Applications alongside my full-time postdoctoral research with a view of working in clinical trials. Before joining the CTR in 2020, I completed a second postdoctoral training in Cardiff University. I was involved in the processing, analysis and interpretation of next generation DNA sequencing data (~6,000 participants) in order to dissect molecular mechanisms and genetic causes of Alzheimer’s disease.

Since transitioning to clinical trials research, I have been working on the design, analysis and reporting of studies in a range of clinical areas including infections, population and mental health and COVID-19.
I have published extensively in human genetics, mental health disorders and more recently - results from the studies that I work on at the CTR.

At the CTR, I am part of the Statistics team and currently I am involved in the following studies as the Trial Statistician:
- Preventing Homelessness, improving health for prison leavers: a pilot randomised controlled trial of a Critical Time intervention (PHaCT) 
- Procalcitonin: Evaluation of Antibiotic use in COVID-19 Hospitalised patients (PEACH)
- Randomised control trial of a psychological intervention for the prevention of depression in adolescents (WOLFSON)

Completed studies:
- COVID Health and Help-Seeking Behaviour Study (CABS)
- Pregnancy and Neonatal outcomes for women with COVID-19 (PAN-COVID)

Publication

2024

2022

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2005

Articles

Thesis

Websites

Teaching

I have taught on the MSc in Bioinformatics and Genetic Epidemiology, Cardiff University (2018-2020).

I have supervised BSc, MPhil and Medical/Part II Natural Sciences students (Cambridge and Cardiff Universities, 2012-2020).

Biography

Academic positions

2022 - present: Research Associate (Statistics), Centre for Trials Research, Cardiff University, Cardiff
2020 - 2022: Research Assistant (Statistics), Centre for Trials Research, Cardiff University, Cardiff

2018 - 2020: Computational biologist/Research Associate,  Institute of Psychological Medicine & Clinical Neurosciences, Cardiff University, Cardiff
Project: Genetics of Alzheimer’s disease
2012 - 2017: Genome analyst/Research Associate, Department of Medical Genetics, University of Cambridge, Cambridge
Project: Genetics of Intellectual disability

Education and qualifications

  • MSc Statistics with Medical Applications (merit), School of Mathematics and Statistics, University of Sheffield, Sheffield
    MSc thesis: “Sample Size Estimation Methods for Count Outcomes in RCTs”, supervisor: Prof. Stephen Walters, Director of Design, Trials and Statistics Section, University of Sheffield; awarded with Distinction
  • Graduate Certificate in Statistics (merit), School of Mathematics and Statistics, University of Sheffield, Sheffield
  • PhD in Molecular Biology/Genetics: “Copy Number Variation in Bipolar Disorder”, MRC Centre in Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff; awarded with no corrections