Jen Lewis

School of Health and Related Research

Research Associate/Medical Statistician

ScHARR Staff Profile - Jen Lewis
jen.lewis@sheffield.ac.uk
+44 114 222 0839

Full contact details

Jen Lewis
School of Health and Related Research
3018
Regent Court (ScHARR)
30 Regent Street
Sheffield
S1 4DA
Profile

I first joined ScHARR in 2016 after developing an interest health research methodology. Prior to that I completed my PhD in Computational Neuroscience in the Department of Psychology here at TUoS. This was funded by the EPSRC. My thesis was entitled 'Biologically plausible models of sequential action selection', and focused on understanding the brain systems and mechanisms involved in human routine action.

In my adopted field of medical statistics and health research, I try to draw on my background in computational neuroscience and its methods to support my research. I am interested in how traditional statistics and more computationally intensive methodologies (such as neural networks and other machine learning approaches) can complement one another, especially in research involving routine health data. I have a particular interest in this approach for supporting research in situations where standard clinical trials may not be possible or feasible.

Qualifications
  • BSc Psychology (Hons), MSc Cognitive & Computational Neuroscience
  • PhD Computational Neuroscience
Research interests
  • Routine data 
  • Cluster trial design
  • Pilot trial design and conduct
  • Urgent & Emergency care services
  • Asthma epidemiology
  • Machine learning
Publications

Journal articles

Chapters

Conference proceedings papers

Research group

Medical Statistics Group

PhD Students:

  • Sam Watchorn
Teaching interests

Tutor for MBChB:

  • Critical Numbers
  • Critical Appraisal & Study Design
Professional activities

I am the Early Careers Representative for the Design, Trials and Statistics section of ScHARR.

I sit on two NIHR Methodology Incubator working groups, and am a member of the NIHR Statistics Group career development committee.