2025 MIDD Webinar Series | From Basics to Best Practices: Understanding machine learning model predictions in drug development through SHAP analysis

2025 MIDD Webinar Series | From Basics to Best Practices: Understanding machine learning model predictions in drug development through SHAP analysis

Recorded On: 02/18/2025

The MIDD Webinar Series, coordinated by Yash Kapoor and Fulya Akpinar Singh, is a series of webinars focused on shaping the future of drug development and regulatory decision-making sponsored by the ISoP Education Committee. Topics range from MIDD approaches in regulatory submission to pharmacometrics topics that are at the core of model development.  

Ana Victoria Ponce-Bobadilla

Principal Pharmacometrician

AbbVie

Ana Victoria Ponce-Bobadilla is a Principal Pharmacometrician at AbbVie, focusing on MIDD in immunology and neuroscience. In her role, she develops PK-PD modeling approaches and integrates state-of-the-art machine learning frameworks to support internal projects and regulatory submissions. She holds a Ph.D. in Applied Mathematics from Heidelberg University, Germany, a Master's in Complex System Science from École Polytechnique, France, and the University of Warwick, UK, and a Bachelor in Mathematics from UNAM, Mexico. She has a strong interest in the integration of mechanistic modeling with machine learning, aiming to drive significant advancements in clinical pharmacology.

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MIDD Series | From Basics to Best Practices: Understanding machine learning model predictions in drug development through SHAP analysis
Recorded 02/18/2025  |  60 minutes
Recorded 02/18/2025  |  60 minutes
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