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Registration opens August 15th at www.idwsds.org.
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

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