Pharmacometrics & Pharmacokinetics (PMK) Community

The Pharmacometrics & Pharmacokinetics (PMK) Community represents a diverse group of scientists from pharmaceutical industry, government, and academia who are interested in the science of clinical pharmacology, pharmacokinetics/pharmacodynamics (PK/PD) and pharmacometrics as disciplines to spur the research and development of safe and effective therapeutics.

The mission of the PMK Community is to promote interaction and knowledge sharing of novel application of clinical pharmacology, PK/PD and pharmacometric approaches that can be utilized to accelerate drug discovery and development of innovative new medicines. We accomplish our mission by:
  • Education: Educational and knowledge sharing platforms on trending topics (e.g., new modalities, advanced analytics, real-world data, etc.) in clinical pharmacology, PK/PD and pharmacometrics via ASCPT’s Annual Meeting and webinars. This helps to enhance and accelerate the decision making in drug development.
  • Engagement: Promoting the engagement of Community members through collaboration, volunteer, and outreach opportunities. These efforts stimulate the connection among diverse PMK members and further grow the PMK Community.
  • Collaboration: Stimulating collaboration between the PMK Community and other ASCPT Communities (e.g., Regulatory Science, Biologics, Oncology) to advance the field of pharmacometrics, PK/PD and clinical pharmacology.

Join the LinkedIn Group.

Upcoming Webinar
ASCPT Members-Only Webinar Presented by the Pharmacometrics & Pharmacokinetics (PMK) Communities Members-Only Webinar
Title:  Powering Clinical Pharmacology Analytics into the Digital Age with Machine Learning and Artificial Intelligence
Date and Time: Friday, October 23, 2020, 2:00 pm ET
Speakers: Jin Y. Jin, PhD, and James Lu, PhD
Moderators: Neeraj Gupta, PhD, and Chunze Li, PhD
Description: As a result of the technological advancements that have taken place over the recent years, our digital world is now largely powered by Machine Learning (ML) and Artificial Intelligence (AI). In the field of Clinical Pharmacology, current analysis approaches entail applying well-established statistical concepts and numerical approximation techniques on top of the foundations of pharmacology. However, the recent growth in high dimensional biomedical data, is putting strains on the existing paradigm. Furthermore, the future needs of personalized medicine may involve performing analytics and generating insights on user devices with little human supervision. Given these trends, new ways to power data analytics in the digital age are needed – enter ML and AI. This special presentation will include:
  • An overview of the data analyses that arise in the Clinical Pharmacology context and how ML/AI can be incorporated into the current paradigm to develop new tools, new methodologies and generate novel insights.
  • How everyone can be empowered to utilize ML with an AutoML tool.
  • Overviews of novel Clinical Pharmacology applications ranging from NCA analysis, model parameter estimation from data (eg, pop-PK/PD, QSP), and linking Tumor Growth Inhibition with Overall Survival (TGI-OS).
  • Perceived limitations of ML/AI and suggested ways to get around them.
  • Details on a case study involving a novel neural-PK/PD framework which combines the power of deep learning with the principles of PK/PD.
Registration Link:

Past Webinars

Chunze Li, PhD

Community Chair


N Gupta

Neeraj Gupta, PhD

Community Vice Chair


Sreeneeranj Kasichayanula, PhD

Community Past Chair


Steering Committee

Chunze Li, PhD (Committee Chair)
Neeraj Gupta, PhD (Committee Vice Chair)
Xiaoying Chen, PhD
Robert Bies, PhD
Bilal AbuAsal, PhD
Akshanth Polepally, PhD
Nadia Terranova, PhD
Sagar Bachhav, PhD
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