Event Details


This webinar will explore two different approaches to Correlates of Protection in vaccine development. Statistical models providing a quantitative framework for identification and validation of potential CoPs, and mechanistic models aiming to understand the biological mechanisms driving immune responses and protection. By integrating these two approaches, researchers can gain better insights into the immunological factors associated with vaccine efficacy and infection protection. This webinar will include talks from two renowned speakers who will discuss the principles, applications, and challenges of both statistical and mechanistic models, contributing to a better understanding of CoPs and optimizing vaccine clinical trial design.

Who is this event intended for? Statisticians, Mathematicians, Modelers, working in vaccine development.

What is the benefit of attending? Attending this seminar on Correlates of Protection (CoPs) in vaccine development offers several benefits. Firstly, participants will gain insights into statistical models used to identify and validate CoPs, providing them with quantitative tools for assessing vaccine efficacy. Secondly, they will learn about mechanistic models that elucidate the underlying biological mechanisms driving immune responses, enhancing their understanding of vaccine-induced protection.


  • Dr. Erin Gabriel (Associate Professor at University of Copenhagen)

    Dr. Erin Gabriel

    Associate Professor at University of Copenhagen

    Erin Gabriel received her PhD from the University of Washington in 2012. She is an Associate Professor in Biostatistics at the University of Copenhagen. Her research focuses on biostatistical methods development and the proper application of methods to problems in the treatment and prevention of infectious diseases. She is currently working on methodological research in the areas of nonparametric causal bounds, designs, and estimation methods for emulated and randomized clinical trials for the evaluation of prediction-based decision rules, and surrogate evaluation. Her general statistical areas of interest are causal inference and randomized trials.

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  • Dr. Melanie Prague (Permanent Researcher at INRIA Bordeaux Sud-Oest Center)

    Dr. Melanie Prague

    Permanent Researcher at INRIA Bordeaux Sud-Oest Center

    Melanie Prague is a permanent researcher at Inria (University of Bordeaux, France) in the SISTM team (Statistics in Immunology and translational medicine) since October 2016. Since 2013, she holds a PhD in Biostatistics and Public Health from the University of Bordeaux, France. She also was a postdoctoral fellow during almost three years at Harvard School of Public Health (Boston, USA). Her research focuses on the development of statistical methods for treatment and prevention of infectious diseases. She develops both within-host and between-host models to accelerate the development of treatments and vaccines. Her main fundings are centered around applications on HIV, Ebola, Nipah and COVID-19.

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Member Price Complimentary
PSI Non-Member
Standard Price Complimentary


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