Our seminar series is aimed at a general scientific audience and open to all.

To find out more about our upcoming seminars, please keep an eye on our Events calendar or talks.cam.ac.uk.

Due to the COVID-19 outbreak and resulting restrictions, we are currently holding our seminars virtually.

If you have a question about our seminar series, please email: alison.quenault@mrc-bsu.cam.ac.uk 

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Videos of our virtual seminars

Dan Swerdlow, Silence Therapeutics

‘Optimising discovery & development of gene silencing drugs with genetics & genomics’

Batuhan Arasli, University of Maryland

‘Group Testing in Structured and Dynamic Networks’

Lizzi Pitt, University of Bath

‘Optimal design of First in Human trials via dynamic programming’

Trevor Campbell, The University of British Columbia

‘Sparse Hamiltonian Flows (or: Bayesian Coresets Without all the Fuss)’

Matt Tudball, University of Bristol

‘A flexible sensitivity analysis for sample selection bias’

David Hughes, Institute of Population Health, University of Liverpool

‘Using Variational Bayes for fast inference in large longitudinal datasets’

Frank Bretz, Novartis

‘When convention meets practicality: Pooled analysis testing under the two-study paradigm’

Frank Bretz, Novartis

‘The role of Biostatistics in pharmaceutical drug development’ (for Early Career Researchers)

Heejung Shim, Melbourne Integrative Genomics (MIG), University of Melbourne

‘NanoSplicer: Accurate identification of splice junctions using Oxford Nanopore sequencing’

Glen Martin, University of Manchester

‘Methodological Advances in Risk Prediction’

Ian Marschner, University of Sydney

‘Estimating treatment effects from adaptive clinical trials’

Joseph Jay Williams, University of Toronto

‘Adapting Real-World Experimentation To Balance Enhancement of User Experiences with Statistically Robust Scientific Discovery’

Vitor Hadad, Stanford University 

‘Confidence intervals for policy evaluation in adaptive experiments’

Kelly Zhang, Harvard University, USA 

‘Statistical Inference on Bandit Data’

David Dunson, Duke University, USA 

‘Bayesian pyramids: Identifying interpretable deep structure underlying high-dimensional data’

Thomas Braun, School of Public Health, University of Michigan, USA

‘A Simulation-Free Approach To Assessing the Performance of the Continual Reassessment Method’

Kaur Alasoo, University of Tartu

‘Genetic effects on gene expression across tissues, cell types, and biological contexts’

Richard Riley, Centre for Prognosis Research, School of Medicine, Keele University 

‘PROGRESS in sample size calculations for clinical prediction model research’

Alessandra Luati, University of Bologna

‘Score driven modeling of spatio-temporal data’

Prof Richard Emsley, NIHR Research Professor, Institute of Psychiatry, Psychology and Neuroscience, King’s College London

‘Using auxiliary variables in mediation analysis to address unmeasured confounding’

To view videos of other virtual seminars, go to the University of Cambridge Media Streaming Service