Alison Quenault

Name:	Alison Quenault
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	15 Apr 2026, 3:03 p.m.

Public lists managed by Alison Quenault

• Cambridge BSU Lectures in Biomedical Data Science
• MRC Biostatistics Unit Seminars
• Statistics Meets Public Health
• Type the title of a new list here

Talks given by Alison Quenault

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

Talks organised by Alison Quenault

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Alison Quenault actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• BSU Seminar: "Response Adaptivity Across Clinical Trials In Portfolios of Biomedical Innovations"
• BSU Seminar: "Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions"
• BSU Seminar: "Nonparametric causal decomposition of group disparities"
• BSU Seminar: "A unifying framework for generalised Bayesian online learning in non-stationary environments"
• BSU Seminar: "New Bayesian methods and tools to address health challenges"
• BSU Seminar: "Genomic newborn screening, and how to evaluate it"
• BSU Seminar: "Graphical models for missing data not at random: identification, inference, and imputation"
• BSU Seminar: "Robust and conjugate Gaussian processes"
• BSU Seminar: "Predictive resampling for scalable Bayes"
• 22nd Armitage Workshop and Lecture
• BSU Seminar: "Effective Health Technologies Faster? Value-Based, Response Adaptive Learning in Clinical Trials"
• BSU Seminar: "Upgrading survival models with CARE"
• BSU Seminar: "Upgrading survival models with CARE"
• BSU Seminar: "Predictive Polygenic Scores: Considerations and an Example"
• BSU Seminar: "AI for the Human Cell Atlas"
• BSU Seminar: "A Regression Tree Approach to Missing Data"
• BSU Seminar: "Investigating complex dependence structures using Bayesian mixture modelling"
• BSU Seminar: "Common atoms mixture models in some biostatistical inference problems"
• BSU Seminar: "A Nonparanormal Approach to Marginal Inference"
• BSU Seminar: "Reclassification of multiple sclerosis using probabilistic machine learning"
• BSU Seminar: "Reclassification of multiple sclerosis using probabilistic machine learning"
• BSU Seminar: "The Lifebelt Particle Filter: a novel robust SMC scheme"
• BSU Seminar: "The Lifebelt Particle Filter: a novel robust SMC scheme"
• BSU Seminar: "Efficient Sequential Experimentation: Bridging Model-Based Reinforcement Learning and Bayesian Optimal Experimental Design"
• BSU Seminar: "Graphical and summary diagnostics for node level adequacy in Bayesian hierarchical models"
• BSU Seminar: "Personalized Decision-Making for Infectious Disease Control: Causal Inference and Complex Dependence"
• BSU Seminar: "IV-learner: learning conditional average treatment effects using instrumental variables"
• 21st Armitage Workshop and Lecture
• BSU Seminar: "Multi-state modelling to estimate infectious disease burden"
• BSU Seminar: "Graphical and summary diagnostics for node level adequacy in Bayesian hierarchical models"
• BSU Seminar: "Bayesian latent multi-state modelling for longitudinal health trajectories"
• BSU Seminar: "Bayesian nonparametric spectral analysis of multivariate time series"
• BSU Seminar: "A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth"
• BSU Seminar: "The Topological Properties of the Protein Universe"
• BSU Seminar: "Making predictions under intervention to avoid causal blind spots in treatment decisions"
• BSU Seminar: “Bayesian behavioural-change epidemic models: is your population alarmed?”
• BSU Seminar: "Using Joint Models for Longitudinal and Time-to-Event Data to Investigate the Causal Effect of Salvage Therapy after Prostatectomy"
• BSU Seminar: "Uncertainty Quantification in the Digital Medicine Era"
• BSU Seminar: "Statistical modelling for state-of-the-art gene editing experiments"
• BSU Seminar: "Graphical and summary diagnostics for node level adequacy in Bayesian hierarchical models"
• BSU Seminar: "Semiparametric posterior corrections"
• BSU Seminar: "Causal machine learning for biomarker subgroup discovery in randomised trials".
• BSU Seminar: "Hyper-Localization and Predictive Modeling of Rapid Lung Function Decline in Cystic Fibrosis"
• BSU Seminar: "Unravelling the mechanisms and decision-making logic of biological systems"
• BSU Seminar: "A new frequentist implementation of the Daniels and Hughes bivariate meta-analysis model for surrogate outcomes"
• BSU Seminar: "Harnessing Extra Randomness: Replicability, Flexibility and Causality"
• 20th Armitage Workshop and Lecture
• BSU Seminar: "Dynamic survival analysis: modelling the hazard function via ordinary differential equations"
• BSU Seminar: 'Some advances and applications of robust gradient-based Markov chain Monte Carlo'
• BSU Seminar: 'Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19'
• BSU Seminar: 'Modelling the response to vaccine in non-human primates to define SARS-CoV-2 mechanistic correlates of protection'
• BSU Seminar: 'Covariate Adjustment in Randomized Experiments with Incomplete Covariate and Outcome Data'
• BSU Seminar: 'Methods for Bayesian optimal design of experiments, with application in biological science’
• BSU Seminar: 'Bayesian Covariance Structure Modelling of Clinical Trial Data'
• BSU Seminar: 'From Data to Decisions: Causal Inference Motivated by Policy Questions'
• BSU Seminar: 'Phases of research for statistical methods’
• BSU Seminar: 'Detecting National, Regional and Global Changes in Terror Activity'
• BSU Seminar: "Statistical approaches for differential analyses on transcriptomics data"
• BSU Seminar: 'Double soft-thresholded model for multi-group scalar on vector-valued image regression'
• BSU Seminar: “Using Electronic Health Records for Scientific Research: Promises and Perils”
• BSU Seminar: "The HealthGap study: Using linked administrative data to understand cardiovascular health of Indigenous people living in Victoria, Australia"
• BSU Seminar: "Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis"
• BSU Seminar: "Making all pairwise comparisons in multi-arm clinical trials without control treatment"
• Virtual BSU Seminar: "Variable Selection and Prioritization in Bayesian Machine Learning Methods"
• 19th Armitage Workshop and Lecture
• BSU Seminar: "Genome-wide genetic models for association, heritability analyses and prediction"
• BSU Seminar: "Challenges in risk prediction using routinely collected health data"
• BSU Seminar: "Design and Inference for Enrichment Trials with a Continuous Biomarker"
• BSU Seminar: “Optimising the discovery and development of gene silencing drugs with genetics and genomics”
• BSU Virtual Seminar: “Group Testing in Structured and Dynamic Networks”
• BSU Seminar: “Optimal design of First in Human trials via dynamic programming”
• BSU Seminar: "The HealthGap study: Using linked administrative data to understand cardiovascular health of Indigenous people living in Victoria, Australia"
• BSU Seminar: "Sparse Hamiltonian Flows (or: Bayesian Coresets Without all the Fuss)"
• “Learning from Data in Single-Cell Transcriptomics”
• Virtual BSU Seminar: "A flexible sensitivity analysis for sample selection bias"
• Virtual BSU Seminar: "Using Variational Bayes for fast inference in large longitudinal datasets”
• Online seminar: ‘Structural variation in anaplastic astrocytoma highlights therapeutic opportunities’
• BSU virtual seminar: "Assessing batch effects and their implications in single cell RNA sequencing experiments"
• Virtual BSU seminar: "NanoSplicer: Accurate identification of splice junctions using Oxford Nanopore sequencing"
• Virtual BSU Seminar: “Methodological Advances in Risk Prediction"
• BSU Virtual Seminar: “Estimating treatment effects from adaptive clinical trials”
• Virtual BSU Seminar: 'Confidence intervals for policy evaluation in adaptive experiments’
• Virtual Seminar: 'Probabilistic models of transcriptomic dysregulation in human genetic disease'
• Virtual Seminar: 'Adapting Real-World Experimentation To Balance Enhancement of User Experiences with Statistically Robust Scientific Discovery'
• Virtual Seminar: 'Statistical Inference with M-Estimators on Bandit Data’
• Virtual Seminar: 'Bayesian pyramids: Identifying interpretable deep structure underlying high-dimensional data’
• BSU Virtual Seminar: 'A Simulation-Free Approach To Assessing the Performance of the Continual Reassessment Method'
• Virtual Seminar: ‘The DURATIONS design: a practical trial design to optimise treatment duration’
• Virtual Seminar: 'PROGRESS in sample size calculations for clinical prediction model research'
• Virtual Seminar: ‘Score driven modeling of spatio-temporal data’
• Virtual Seminar: 'Using auxiliary variables in mediation analysis to address unmeasured confounding'
• Virtual BSU Seminar: 'Stochastic treatment interventions in causal survival analysis'
• Virtual BSU Seminar: 'Assumption-lean inference for generalised linear model parameters'
• Virtual BSU Seminar: 'Parameterizing Causal Marginal Models'
• Virtual Seminar: “Delayed-acceptance Sequential Monte Carlo”
• Virtual Seminar: “Including expert knowledge in genomic selection through intuitive tree-based joint priors”
• “Squeezing the most out of ridge”
• BSU Seminar: “Statistical approaches to viral sequence data; their evolutionary and clinical applications”
• BSU Seminar: “Building Representative Matched Samples with Multi-valued Treatments in Large Observational Studies”
• BSU Seminar: "Information theory in dose-finding trials"
• BSU Seminar: “Optimal Feature Selection using model-based Deep Reinforcement Learning”
• BSU Seminar: “Sample size considerations for the design clinical trials – quantifying the target difference and the target no-difference”
• BSU Seminar: “Sample size considerations for the design clinical trials – quantifying the target difference and the target no-difference”
• BSU Seminar: "Probabilistic approaches for optimal sequential feature acquisition"
• BSU Seminar: "Probabilistic approaches for optimal sequential feature acquisition"
• BSU Seminar: “How to obtain valid tests and confidence intervals for treatment effects after confounder selection”
• BSU Seminar: “How to obtain valid tests and confidence intervals for treatment effects after confounder selection”
• BSU Seminar: “Estimation in two-stage adaptive threshold enrichment clinical trials”
• BSU Seminar: “Unsupervised substructure discovery in mass spectrometry metabolomics data”
• BSU Seminar: “Statistical learning for drug screening in personalized cancer therapy”
• BSU Seminar: "Using Gaussian processes to model branching dynamics from single-cell data" (provisional)
• BSU Seminar: “Biomarker discovery through statistical signal processing and Bayesian modelling on large-scale quantitative proteomics data”
• BSU Seminar: "Mass spectrometry-based proteomics: challenges and opportunities"
• BSU Seminar: "Optimal bootstrapping with dependent data"
• BSU Seminar: “Cox-process representation and inference for stochastic reaction-diffusion processes”
• BSU Seminar: “Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities”
• BSU Seminar: “Bayesian adaptive designs for Phase III trials”
• BSU Seminar: “Biomarker discovery through statistical signal processing and Bayesian modelling on large-scale quantitative proteomics data”
• BSU Seminar: “Unsupervised substructure discovery in mass spectrometry metabolomics data”
• BSU Seminar: “Quasi Markov Chain Monte Carlo Methods”
• Continuous inference for aggregated point process data
• Individual dynamic predictions using landmarking and joint modelling: validation of estimators and robustness assessment
• Extended multivariate generalised linear and non-linear mixed effect models
• “Extended multivariate generalised linear and non-linear mixed effect models”
• Genome-wide epistasis in bacteria, new statistical tools and fresh biological insight
• Network Time Series
• A Bayesian model-based approach to finding cell-type level associations in heterogeneous methylation samples
• Dirichlet Process Mixtures of Multivariate Skew t-distributions for Unsupervised Clustering of Cell Populations from Flow-Cytometry Data
• “Joint variational inference for genetic association studies with multiple outcomes”
• “The xyz algorithm for fast interaction search in high-dimensional data”
• “Identifying and evaluating personalised treatment recommendations”
• "The Analysis of Recurrent Events: A Summary of Methodology and Informative Censoring Considerations"
• Shaping Public Health Policy on Infectious Diseases through Evidence Synthesis
• CANCELLED - Identifying and evaluating personalised treatment recommendations
• "Dynamic prediction of survival using landmarking in large healthcare databases, with an application in cystic fibrosis"
• “Statistical opportunities and challenges in observational health data: Addressing missingness using two-phase sampling for nonresponse: methods and benefits"
• Provisional title: "Percentage study weights in meta-analysis and meta-regression"
• "A Bayesian analysis of microbiome data"
• "Breaking non-identifiability using genetic information : an application to metabolite data and gene expression"
• "The Analysis of Recurrent Events: A Summary of Methodology and Informative Censoring Considerations"
• Title TBC
• "Addressing missingness using two-phase sampling for nonresponse: methods and benefits"
• "A non-stationary Bayesian model for across-site heterogeneity in molecular phylogenetics"
• "Exploring dependence between categorical variables: Benefits and limitations of using variable selection within Bayesian clustering in relation to searching for interactions"
• "Modelling the evolution of brain signals"
• "Mapping Health"
• "Improved ranking and selection for large-scale inference"
• "The analysis of variance and the analysis of causes"
• "Some aspects in high-dimensional Bayesian model choice"
• "Better prediction by use of co-data: Adaptive group-regularized ridge regression"
• "Rowing, statistics, and my genes: a cautionary tale"
• "Design for ABC and history matching with Gaussian processes"
• "The Implications of Differential Clustering for the Analysis of Binary Outcome Measures"
• "Understanding the role of secondary outcomes in multivariate meta-analysis"
• "Genomic prediction of complex human traits: relatedness, trait architecture and predictive meta-models"
• "An Unbiased and Scalable Monte Carlo Method for Bayesian Inference for Big Data"
• "Blood-based biomarkers of Alzheimer's disease & Temporal Clustering of biological, medical and wearable data"
• “Biostatistician behind bars: by design and on trial”
• Title TBC