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Tuesday, October 6
 

09:00 UTC

S401 - Health and Biostatistics 1
Tuesday October 6, 2026 09:00 - 10:00 UTC
A Background Correction and Normalisation Framework for multiplex Immunofluorescence Spatial Proteomics | Menopause-related heterogeneity in lipoprotein(a) effect on atherosclerotic cardiovascular disease: a sex- and age-stratified Mendelian Randomization study in the UK Biobank | Income, Inequality, and Mortality: A Harmonized Comparative Framework Across Ecuador, Colombia, and Brazil|Absorbing Markov Chain Parameter Estimation Under Data Scarcity: A Comparative Study of Analytical and Monte Carlo Methods in Neonatal Care|Predicting the Right Treatment for the Right Patient: An AI-Powered Decision Support Framework Based on Predicted Individual Treatment Effects
Speakers
avatar for Malvika Kharbanda

Malvika Kharbanda

SAiGENCI
Malvika is a PhD candidate in computational oncology at Adelaide University (Australia), where she develops statistical and computational methods to analyse complex biomedical data. Her research focuses on using large scale clinical and spatial imaging datasets to better understand... Read More →
avatar for Gabriela Sandoval

Gabriela Sandoval

CISeAL - PUCE
PhD in Statistics, currently working as a postdoctoral researcher at the Center for Research on Health in Latin America (CISeAL), where she contributes to projects aimed at reducing health inequalities and mitigating the impact of economic crises in the region. Her expertise centers... Read More →
avatar for Daianna Gonzalez Padilla

Daianna Gonzalez Padilla

University of Cambridge
Researcher in Genetic Epidemiology at the MRC Biostatistics Unit, University of Cambridge, specializing in Mendelian randomization, a causal inference framework that uses genetic variants to assess the effects of putative risk factors on disease from observational data. My research... Read More →
avatar for Leandra Braeuninger

Leandra Braeuninger

University College London
Leandra Bräuninger (they/them; she/her) is a doctoral student at University College London, supervised by Dr Brieuc Lehmann and Prof. Ioanna Manolopoulou, using statistical and machine learning methods to define, quantify and mitigate genomic inequity. Drawing on algorithmic fairness... Read More →
Organizers
Tuesday October 6, 2026 09:00 - 10:00 UTC
Zoom Room #4

09:00 UTC

S305 - The Role of Data Modelling for Better Outcomes in Women’s Health
Tuesday October 6, 2026 09:00 - 10:00 UTC
Dr Rachael Duncan will introduce the session that brings together leading speakers to explore how advanced data modelling can improve outcomes in women’s health, particularly through equity-focused and locally led approaches. The session also highlights the importance of women as data scientists and modellers to ensure better healthcare outcomes. Dr Halima Twabi highlights capacity building in Sub-Saharan Africa, emphasising strengthening local expertise, supporting women data scientists, and applying advanced statistical and causal inference methods to complex health challenges. Dr Annabel Sowemimo contributes a critical perspective on structural inequalities, addressing racism and the need to decolonise healthcare systems. Dr Lucy Teece focuses on with insights from industry on the role of biometrics in cancer drug development. Together, the speakers demonstrate how inclusive, collaborative modelling approaches can generate more relevant, impactful, and equitable evidence for women’s health research and policy.
Speakers
avatar for Rachael Duncan

Rachael Duncan

BioSS
Rachael Duncan is a Statistician in Animal Health and Welfare at BioSS. Since joining BioSS in 2023, she has applied statistical methods to a wide range of challenges in animal health and welfare. Prior to this, she completed her PhD at Lancaster University, where she explored how... Read More →
avatar for Halima Twabi

Halima Twabi

University of Malawi
Halima Twabi is an Associate Professor of Statistics at the Department of Mathematical Sciences, University of Malawi. Her research interests are in causal inference for observational data, multivariate statistics, longitudinal and survival analysis, and statistical modelling and... Read More →
avatar for Annabel Sowemimo

Annabel Sowemimo

King’s College London
Dr Annabel Sowemimo is a doctor, academic, activist and writer, and an NHS Consultant in Sexual & Reproductive Health in South London. Her first book, Divided: Racism, Medicine and Why We Need to Decolonise Healthcare (2023), won the Bread and Roses Award for Radical Publishing and... Read More →
avatar for Lucy Teece

Lucy Teece

AstraZeneca
Dr Teece is an Associate Director of Statistical Science at AstraZeneca. Previously, she was a Lecturer in Medical Statistics in the Department of Health Sciences at the University of Leicester. She was awarded her PhD on “Investigating the presence and impact of competing events... Read More →
Chairs/Hosts
avatar for Rachael Duncan

Rachael Duncan

BioSS
Rachael Duncan is a Statistician in Animal Health and Welfare at BioSS. Since joining BioSS in 2023, she has applied statistical methods to a wide range of challenges in animal health and welfare. Prior to this, she completed her PhD at Lancaster University, where she explored how... Read More →
Organizers
Tuesday October 6, 2026 09:00 - 10:00 UTC
Zoom Room #3

10:00 UTC

S306 - Modern Statistical Methods and Applications in Health Research
Tuesday October 6, 2026 10:00 - 11:00 UTC
This session highlights the breadth of biostatistics through four distinct but complementary talks by statistical researchers. It explores how modern statistical methodologies are advancing health research by addressing challenges in evidence generation, clinical decision-making, and causal inference. The presentations cover Bayesian learning frameworks for individualised treatment recommendations, large language model-assisted tools that improve the efficiency and reproducibility of systematic reviews and meta-analyses, innovative clinical trial designs and the practical challenges that influence their efficiency, and Mendelian randomisation approaches for investigating causal relationships and therapeutic targets in cardiovascular disease. Together, these talks aim to strengthen the reliability, transparency and translation of evidence, thereby supporting more informed clinical and public health decision-making in an increasingly connected global health research landscape.
Speakers
avatar for Pamela Massiel Chiroque Solano

Pamela Massiel Chiroque Solano

University of Regensburg
Pamela Solano is a statistician passionate about transforming complex data into trustworthy clinical decisions. As a researcher at the Faculty of Informatics and Data Science, University of Regensburg, Germany, she develops interpretable AI and Bayesian learning methods that empower... Read More →
avatar for Danyang Dai

Danyang Dai

The University of Sydney
Danyang Dai (Daidai) is a final year PhD student (thesis submitted) at the Queensland Digital Health Centre. She is an applied statistician and infectious disease epidemiology researcher with expertise in large scale health data analysis, disease surveillance, and advanced statistical... Read More →
avatar for Aritra Mukherjee

Aritra Mukherjee

Newcastle University
Aritra Mukherjee is a Research Associate in the Biostatistics Research Group at Newcastle University. Her research focuses on developing innovative statistical methods for clinical trials, with expertise in adaptive trial designs such as multi-arm multi-stage (MAMS) trials, sample... Read More →
avatar for Daianna Gonzalez Padilla

Daianna Gonzalez Padilla

University of Cambridge
Researcher in Genetic Epidemiology at the MRC Biostatistics Unit, University of Cambridge, specializing in Mendelian randomization, a causal inference framework that uses genetic variants to assess the effects of putative risk factors on disease from observational data. My research... Read More →
Chairs/Hosts Organizers
Tuesday October 6, 2026 10:00 - 11:00 UTC
Zoom Room #3

17:00 UTC

S407 - Health and Biostatistics 2
Tuesday October 6, 2026 17:00 - 18:00 UTC
Scalable Nearest-Neighbor Gaussian Graphical Models for Demographic Heterogeneity in GLP-1 Outcomes|Paired Portfolio Trading: A Statistical Approach|Methodological opportunities in genomic data analysis to advance health equity
Speakers
avatar for Gaoqianxue Liu

Gaoqianxue Liu

Drexel University
Gaoqianxue (Daphne) Liu is a PhD student in Biostatistics at the Dornsife School of Public Health, Drexel University. Her research includes scalable Bayesian methods for high-dimensional and graphical models in electronic health records, longitudinal and trajectory modeling, and machine... Read More →
avatar for Leandra Braeuninger

Leandra Braeuninger

University College London
Leandra Bräuninger (they/them; she/her) is a doctoral student at University College London, supervised by Dr Brieuc Lehmann and Prof. Ioanna Manolopoulou, using statistical and machine learning methods to define, quantify and mitigate genomic inequity. Drawing on algorithmic fairness... Read More →
avatar for Sara Mezuri

Sara Mezuri

Graduate Reasearch Assistant
I am a Ph.D. candidate in the Department of Mathematics and Statistics at Oakland University in Michigan, specializing in Applied Mathematics. Currently, I am in my fifth and final year, and I expect to graduate in December 2026. My research involves developing several statistical... Read More →
Organizers
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #4

18:00 UTC

S505 - Code is for Everyone: Showcasing Tools to Support Learners at all Levels
Tuesday October 6, 2026 18:00 - 19:00 UTC
Code is for Everyone: Showcasing Tools to Support Learners at all Levels
Speakers
avatar for Kelly Bodwin

Kelly Bodwin

California Polytechnic State University
Dr. Kelly Bodwin is an Associate Professor of Statistics and Data Science at California Polytechnic State University, San Luis Obispo. Her research interests include cross-disciplinary work in Digital Humanities, including historical social networks and authorship identification... Read More →
avatar for Mine Cetinkaya-Rundel

Mine Cetinkaya-Rundel

Duke University
Dr. Mine Çetinkaya-Rundel is Professor of the Practice and the Director of Undergraduate Studies at the Department of Statistical Science and the Director of First-Year Experience at Duke University. She is also a Developer Educator at Posit, PBC, an open-source data science software... Read More →
avatar for Cara Thompson

Cara Thompson

Data Visualisation Consultant, Building Stories with Data LTD
Dr. Cara Thompson is a data visualisation consultant with an academic background, specialising in helping research teams and data-driven organisations turn their data insights into to clear and compelling visualisations.

After her PhD in Psychology and a spell teaching research methods at Edinburgh Uni, she embarked on a career in psychometrics at the Royal college of Surgeons of Edinburgh. After ten years of helping surgeons and other medical professionals understand complex patterns in exam data... Read More →
Chairs/Hosts
avatar for Jamie Joseph

Jamie Joseph

Henry Ford Health
Dr. Jamie Joseph is a faculty biostatistician in the Department of Public Health Sciences at Henry Ford Health with a joint appointment as an Assistant Professor of Research at Michigan State University. She earned her PhD in Biostatistics from Vanderbilt University in 2024. Currently... Read More →
Organizers
avatar for Ashley Mullan

Ashley Mullan

Vanderbilt University
Ashley Mullan is a PhD student and research assistant in the Department of Biostatistics at Vanderbilt University. She earned her MS in Statistics from Wake Forest University. Her research interests include both methods development for measurement error and missing data and their... Read More →
Tuesday October 6, 2026 18:00 - 19:00 UTC
Zoom Room #5
 
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