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Products are filtered by different dates, depending on the combination of live and on-demand components that they contain, and on whether any live components are over or not.
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  • UPCOMING LIVE!
    Contains 1 Component(s) Includes a Live Web Event on 11/11/2025 at 12:00 PM (EST)

    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.

    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.  

    Prashant Dogra

    Assistant Research Professor

    Houston Methodist Research Institute

    Prashant Dogra is an Assistant Research Professor for the Mathematics in Medicine Program at Houston Methodist Research Institute specializing in mathematical and computational modeling of complex diseases and therapeutic interventions. He leads interdisciplinary research integrating multiscale mechanistic modeling, quantitative systems pharmacology, and data science to predict in vivo disease dynamics, optimize drug delivery, and support therapeutic development. His work advances the fields of cancer therapeutics, infectious disease vaccines, and nanomedicine by providing innovative modeling tools to accelerate clinical translation. He is particularly enthusiastic about integrating artificial intelligence with mechanistic modeling approaches and currently serves as Principal Investigator on an NIH R01 grant focused on developing AI-integrated mechanistic models to advance nanoparticle-based drug delivery systems.

  • UPCOMING LIVE!
    Contains 1 Component(s) Includes a Live Web Event on 10/14/2025 at 12:00 PM (EDT)

    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.

    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.  

    Eleni Caratzas, MSc, PhD

    Principal Scientist II

    IM/Janssen R&D

    Eleni Caratzas (Karatza), MSc, PhD, is a Principal Scientist II at J&J IM/Janssen R&D. She completed her undergraduate and master’s degrees in pharmacy at the University of Athens, Greece. Following her studies, she started working as a scientist-consultant at a pharmaceutical consulting firm. After earning her PhD, she started her postdoctoral fellowship with the UNC Eshelman School of Pharmacy and GSK. Dr. Karatza has published over 25 peer-reviewed articles and book chapters in the field of clinical pharmacology and pharmacometrics. An active ISoP member since 2018, she has supported various ISoP and ACoP initiatives and she was awarded the ISoP Unsung Hero Award in 2024.

  • UPCOMING LIVE!
    Contains 1 Component(s) Includes a Live Web Event on 09/23/2025 at 12:00 PM (EDT)

    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.

    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.  

    Martin Bergstrand

    Principal Consultant and MIDD Platform Science Lead

    Pharmetheus

    Martin obtained his PhD in Pharmacometrics from Uppsala University. He has 20+ years of drug development experience in areas such as metabolic disorders, autoimmune disease, infectious disease, hematological disorders etc. In 2012 Martin co-founded the consulting company Pharmetheus AB. In the consultant role he has been engaged as strategic advisor on behalf of multiple clients and acted as the main responsible consultant for 50+ pharmacometric data analysis projects on behalf of more than 20 different clients. The projects have ranged from pre-clinical translational projects to submission ready large-scale phase III PKPD analysis. These analyses have among other things contributed to 5+ successful NDA filings. 

    Gianluca Selvaggio

    Gianluca obtained an M.Sc. in Biomedical engineering from University of Bologna, Italy, and Ph.D. in Bioengineering from the New University of Lisbon, Portugal. He is an expert in quantitative systems pharmacology (QSP) modelling spanning therapeutic areas such as oncology and immuno-inflammation. He has worked as a Senior Modeler at the Fondazione Microsoft Research – University of Trento Centre for Computational and Systems Biology. During his time at Pharmetheus he has among other things contributed to the development of a QSP framework for drug immunogenicity following subcutaneous administration.

  • UPCOMING LIVE!
    Contains 1 Component(s) Includes a Live Web Event on 08/13/2025 at 12:00 PM (EDT)

    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.

    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.  

    Jing Liu

    Senior Director of Clinical Pharmacology

    Pfizer Research and Development

    Jing Liu, PhD, is currently a Senior Director of Clinical Pharmacology at Pfizer Research and Development. Dr. Liu is an influential leader in innovative model-informed drug discovery and development with over 25+ years of experience across multiple disease areas, drug modalities and all stages of drug development. She has authored 150+ scientific manuscripts, abstracts and book chapters, and has been an invited speaker/Co-Chair at international scientific meetings including scientific exchanges on accelerating pediatric drug development with PMDA in Japan and NMPA in China. Dr. Liu is currently a member of the American Society for Clinical Pharmacology and Therapeutics (ASCPT) Board of Directors, and has held leadership roles on various committees, task forces, and ASCPT Network and Community. She is also a founding member of International Society of Pharmacometrics (ISOP) and the Abstract Chair for 2014 American Conference of Pharmacometrics (ACOP). Dr. Liu is the Past-Chair and a member of the International Consortium for Innovation and Quality (IQ) Clinical Pharmacology Pediatrics Working Group to advance innovative and efficient pediatric drug development.

  • UPCOMING LIVE!
    Contains 1 Component(s) Includes a Live Web Event on 07/16/2025 at 12:00 PM (EDT)

    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.

    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.  

    Phyllis Chan

    Pharmacometrician in Clinical Pharmacology Modeling & Simulation Group

    Genentech

    Phyllis is a pharmacometrician in the Clinical Pharmacology Modeling & Simulation group at Genentech in South San Francisco. Before joining Genentech in 2017, Phyllis worked at Bristol-Myers Squibb, obtained her PhD in Pharmaceutical Sciences from Auburn University and was a postdoctoral fellow at University of Southern California's Biomedical Simulations Resource (BMSR).  More recently, Phyllis received an MPH from Imperial College London.  She specializes in population PK, exposure-response, tumor growth inhibition-overall survival, and model-based meta-analysis.

  • UPCOMING LIVE!
    Contains 1 Component(s) Includes a Live Web Event on 06/24/2025 at 10:00 AM (EDT)

    Great data visualization is more than just charts—it’s about effective communication. This session explores principles of design that make data clear, efficient, and beautiful, ensuring your audience grasps key insights at a glance. Learn how to craft visualizations that not only look good but also enhance understanding and tell a compelling story with your data.

    Great data visualization is more than just charts—it’s about effective communication. This session explores principles of design that make data clear, efficient, and beautiful, ensuring your audience grasps key insights at a glance. Learn how to craft visualizations that not only look good but also enhance understanding and tell a compelling story with your data.

    Dr. Cédric Scherer

    Dr. Cédric Scherer (he/him) is a computational ecologist turned independent data visualization professional. Combining research expertise with a passion for data and design, he helps organizations, research teams, and businesses communicate insights through engaging visualizations, reports, and presentations. Specializing in bespoke, code-driven designs—from clear and effective to artistic and unconventional—Cédric has created visualizations across various disciplines and regularly teaches data visualization principles, R, and ggplot2.

  • UPCOMING LIVE!
    Contains 1 Component(s) Includes a Live Web Event on 06/18/2025 at 12:00 PM (EDT)

    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.

    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.  

    Rong Chen

    Research Scientist

    Certara

    Rong is a research scientist at Certara USA Inc’s Data Sciences Division Phoenix NLME group. His responsibility involves maintaining, improving, and developing the existing and new computational and statistical algorithms for Phoenix NLME software. Rong got his nuclear physics PhD at Arizona State University in 2020. The PhD focused on large-scale quantum Monte Carlo simulations. Prior to join Certara in 2023, Rong was a postdoctoral research fellow at Children’s Hospital Los Angeles where he developed high performance parametric and nonparametric algorithms for population pharmacokinetics/pharmacodynamics (PK/PD) modeling.

  • On-Demand
    Contains 1 Component(s) Recorded On: 05/23/2025

    Non-linear mixed effects modeling and simulation (NLME M& S) is evaluated to be used for standardization with longitudinal data. Non-linear mixed effects modeling (NLME) is a particular implementation of standardization that conditions on individual parameters – the random effects of the mixed effects model. The present work is motivated by the fact that in pharmacometrics NLME M& S is routinely used to analyze clinical trials and to predict and compare hypothetical outcomes of the same patient population under different treatment regimens. Such a comparison is a causal question sometimes referred to as causal prediction. Nonetheless, NLME M& S is rarely positioned as a method for causal prediction. As example a simulated clinical trial is used that assumes treatment confounder feedback in which early outcomes can cause deviations from the planned treatment schedule and are correlated with the final outcome. Being interested in the outcome for the planned treatment schedule, we evaluate possibilities to correct for the confounding using NLME M& S based on latent conditional exchangeability or implementations of other causal inference g-methods based on sequential conditional exchangeability (inverse probability weighting (IPW), standardization or g-estimation). All the methods can correct for the confounding, as long as assumptions required for identification of the estimand hold, including in particular, positivity, no unobserved confounding, and correct specification of the models used for the analyses.

    Non-linear mixed effects modeling and simulation (NLME M& S) is evaluated to be used for standardization with longitudinal data. Non-linear mixed effects modeling (NLME) is a particular implementation of standardization that conditions on individual parameters – the random effects of the mixed effects model. The present work is motivated by the fact that in pharmacometrics NLME M& S is routinely used to analyze clinical trials and to predict and compare hypothetical outcomes of the same patient population under different treatment regimens. Such a comparison is a causal question sometimes referred to as causal prediction. Nonetheless, NLME M& S is rarely positioned as a method for causal prediction. As example a simulated clinical trial is used that assumes treatment confounder feedback in which early outcomes can cause deviations from the planned treatment schedule and are correlated with the final outcome. Being interested in the outcome for the planned treatment schedule, we evaluate possibilities to correct for the confounding using NLME M& S based on latent conditional exchangeability or implementations of other causal inference g-methods based on sequential conditional exchangeability (inverse probability weighting (IPW), standardization or g-estimation). All the methods can correct for the confounding, as long as assumptions required for identification of the estimand hold, including in particular, positivity, no unobserved confounding, and correct specification of the models used for the analyses.

    Christian Bartels

    Senior Director

    Novartis

    Christian Bartels studied molecular biology at the Biocentre in Basel to focus then on data analysis, modeling and simulation. After some notable contributions to proteomics, protein structure determination, peptide folding and drug design, he specialized into pharmacometrics. Since 2009, Christian works in the pharmacometrics modeling and simulation group from Novartis supporting compounds across the portfolio.

    Manuela Zimmermann

    Principal Pharmacometrician

    Novartis

    Manuela Zimmermann is a Principal Pharmacometrician at Novartis, supporting the clinical development of new compounds primarily in the oncology therapeutic area. Before joining the Pharmacometrics Department, she worked on type-I error controlled exploratory variable selection as part of the Advanced Methodology and Data Science group at Novartis. Manuela holds a Ph.D in Biophysics and Biophysical Chemistry from the University of Cambridge. Her thesis focused on developing quantitative methods to investigate stochastic phenomena linked to Alzheimer’s disease.

  • On-Demand
    Contains 1 Component(s) Recorded On: 05/21/2025

    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.

    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.  

    Yuezhe Li

    Research Scientist II

    Metrum Research Group

    Yuezhe Li is a Research Scientist II at Metrum Research Group. Since joining Metrum Research Group in 2021, her work has focused on developing quantitative systems pharmacology (QSP) models to support preclinical and clinical development of antibody drug conjugates (ADCs), bispecific T cell engagers, and gene therapies. Yuezhe earned her Ph.D. in Biomedical Science from the University of Connecticut. Other fields of experiences include systems biology, machine learning, and mathematical modeling.

  • On-Demand
    Contains 1 Component(s) Recorded On: 05/19/2025

    This event aimed to define minimum evaluation criteria for QSP virtual populations used in regulatory submissions, establishing clear credibility assessment guidelines that will shape the future of QSP modeling.

    This event aimed to define minimum evaluation criteria for QSP virtual populations used in regulatory submissions, establishing clear credibility assessment guidelines that will shape the future of QSP modeling.

    Featured Presentations

    The workshop features an impressive lineup of speakers sharing real-world experiences with VPOPs in regulatory submissions:

    • Steve Chang: "Virtual Population Assessment Landscape: Where are we thus far?"
    • Rohit Rao, Pfizer: "Learn-Predict-Confirm: Development and Qualification of QSP Virtual Populations for COVID-19 Therapeutics"
    • Mengdi Tao, Sanofi: "Credibility of QSP Virtual Populations in Rare Disease Drug Development"
    • Yili Qian, BMS: "Developing Virtual Populations for QSP Models: A Workflow Illustrated by an Immune Checkpoint Inhibitor Case Study"

    Discussion Leaders

    • Lourdes Cucurull-Sanchez: Best Practices from Experience
    • Jingqi Gong & Monica Susilo: Digital Twins and Future Directions