Our statisticians

Five named statisticians, with the qualifications behind them

You are told which statistician is assigned to your project before you approve a quote, and you correspond with them directly. Their degrees, memberships and areas of practice are listed below so you can judge the fit before you send any data.

5named statisticians
67combined years
5UK doctorates
0calls required
In short

ResearchBench work is carried out by five named statisticians holding UK doctorates in biostatistics, econometrics, epidemiology, applied statistics and data science, all members of the Royal Statistical Society. Each project is assigned to the statistician whose field matches the method required.

The team

Who will do your analysis

Elaine Halliburton
Elaine Halliburton
Professor of Applied Statistics
20+ years · University of Northampton

Psychometrics, structural equation modelling and research methodology, with doctoral supervision and journal review experience.

Education

  • PhD, Applied StatisticsUniversity of Glasgow · 2002
  • MSc, StatisticsUniversity of Edinburgh · 1998

Professional membership

  • Member of the Royal Statistical Society

Teaching & training

  • Professor of Applied Statistics, University of Northampton
  • PhD supervisor, 25+ doctoral completions
  • Statistical reviewer for Statistics in Medicine, BMC Medical Research Methodology and Psychological Assessment

Software

RMplusAMOSSPSSSASStataLISRELSmartPLSPython

Areas of expertise

Advanced multivariate methodsPsychometricsConfirmatory factor analysisStructural equation modellingHierarchical linear modellingMediation and moderationItem response theoryExperimental design
Sidra Khan
Sidra Khan
Lead Biostatistician
10+ years · Independent Biostatistics Consultant

Clinical trials, epidemiology and evidence synthesis, with a focus on longitudinal and multicentre studies.

Education

  • PhD, Epidemiology and BiostatisticsUniversity of Birmingham · 2016
  • MSc, Public HealthKing's College London · 2011

Professional membership

  • Member of the Royal Statistical Society
  • International Society for Clinical Biostatistics

Teaching & training

  • Clinical trial statistics workshops
  • Good Clinical Practice statistical training
  • MSc supervision in epidemiology

Software

SASRSPSSStataRevManCMAPythonGraphPad Prism

Areas of expertise

Clinical trial statisticsEpidemiologyCox proportional hazardsLongitudinal dataROC and diagnostic test accuracyMeta-analysisSample size and powerPublic health statistics
Tara Sutaria
Tara Sutaria
Senior Statistical Analyst
10+ years · Independent Data Science Consultant

Machine learning and predictive modelling for high-dimensional data across healthcare, finance and education.

Education

  • PhD, Data ScienceUniversity of Southampton · 2017
  • MSc, Artificial IntelligenceUniversity of Bristol · 2013

Professional membership

  • Member of the Royal Statistical Society
  • Member of the British Computer Society

Teaching & training

  • Lecturer in machine learning and predictive analytics
  • Corporate training in Python, TensorFlow and Scikit-learn
  • Workshops on explainable AI and reproducible data science

Software

PythonRTensorFlowScikit-learnPyTorchSQLPower BITableauMATLAB

Areas of expertise

Machine learningPredictive modellingData miningFeature engineeringClassification and clusteringNatural language processingStatistical learning
Hafiz Ahmad Tariq
Hafiz Ahmad Tariq
Senior Biostatistician
15+ years · Independent Statistical Consultant

Experimental design, survival analysis and Bayesian methods across medicine, psychology, public health and engineering.

Education

  • PhD, BiostatisticsUniversity of Leeds · 2014
  • MSc, Applied StatisticsUniversity of Sheffield · 2010

Professional membership

  • Member of the Royal Statistical Society

Teaching & training

  • Lecturer on postgraduate biostatistics modules
  • CPD workshops in survival analysis, Bayesian statistics and R programming
  • MSc dissertation supervision in epidemiology

Software

RPythonSPSSStataSASMplusAMOSSmartPLSMATLABSQL

Areas of expertise

Advanced regressionMultilevel and mixed effectsBayesian methodsStructural equation modellingSurvival analysisMeta-analysisPredictive analyticsMissing data imputation
Saad Tariq
Saad Tariq
Principal Statistician
12+ years · Independent Statistical Consultant

Econometrics, forecasting and causal inference for policy evaluation, business analytics and operations.

Education

  • PhD, EconometricsUniversity of Warwick · 2013
  • MSc, EconomicsUniversity of Manchester · 2009

Professional membership

  • Member of the Royal Statistical Society

Teaching & training

  • Guest lecturer in econometrics and forecasting
  • Corporate training in R, Stata and causal inference
  • MSc dissertation supervision

Software

RPythonStataEViewsSPSSSASPower BITableauSQL

Areas of expertise

EconometricsTime series forecastingPanel dataCausal inferenceGeneralised linear modelsMonte Carlo simulationRisk modellingDecision analytics

Verification

Checking our credentials

Every degree listed above was awarded by a named UK university, and Royal Statistical Society membership is verifiable through the Society. Publication records, ORCID identifiers and institutional references are available on request — email hello@researchbench.co.uk and we will send them before you commit to anything.

For organisations with a supplier assurance or procurement process, send us the form with your enquiry and we will complete it as part of scoping.

Send the data. Get a fixed quote.

Attach your dataset or just describe the project. A named statistician replies with a price and a deadline, usually within one working day.