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 Pharmacometrics & Pharmacokinetcs (PMK) Community Members-Only Webinar
Title:  Effective Visual Communication for Quantitative Scientists, 2-Part Series
Part 2 Date and Time: Friday, January 22, 2021, 11:00 am ET
Speakers: Mark Baillie, PharmD, Baldur Magnusson, PhD, Alison Margolskee, PhD, and Marc Vandemeulebroecke, PhD
Moderator: Neeraj Gupta, PhD
Description: Effective visual communication (EVC) is a core competency for all scientists who work with data, such as pharmacologists, pharmacometricians, statisticians, data scientists, etc. By using the right graphical principles, we can better understand data, highlight core insights, and influence decisions toward appropriate actions. Without them, we can mislead others and ourselves and pave the way to wrong conclusions and actions.
The aim of this 2-part webinar is to provide a deep dive into EVC for quantitative scientists through a series of case studies and exercises, focusing on the key principles of purpose, clarity, and message. Format of the 2-part webinar:
  • Part 1: Presenters will provide an overview of EVC principles and walk through case studies applying a structured approach to creating an effective visualization, and introduce hands-on examples for homework for Part 2
  • Homework: Between Parts 1 and 2, participants are asked to apply the structured approach to improve a graph or to visualize a dataset and submit their work prior to Part 2 for discussion.
  • Part 2: Facilitators will discuss hands-on examples (homework) introduced in Part 1 with EVC principles in mind. Some attendees may be invited to participate as panelists to discuss their approach. Attendees can participate by providing comments through chat functionality.
Part 1 Recording: 
Available in Webinar Library
Part 2 Registration Link: https://us02web.zoom.us/webinar/register/6216040086160/WN_54ufx8UnRa6UWyRJTVtPeQ

ASCPT Members-Only Webinar Presented by the Pharmacometrics & Pharmacokinetics (PMK) and Early Career (EC) Communities
Title:  Introduction of Deep Learning in Drug Discovery and Development
Date and Time: Thursday, January 28, 2021, 4:00 pm ET
Speaker: Jagdeep Podichetty, PhD
Moderators: Daniela Conrado, PhD
Description: Deep Learning is a machine learning technique that uses multiple layers to extract information from raw data. Neural Networks, the algorithms used in Deep Learning, are used in everything from drug candidate identification to classification of a disease state through raw images. This webinar will give an overview of the Deep Learning landscape and highlight the application of deep learning in drug discovery and development. Additionally, this webinar will discuss the framework for artificial neural networks as well as their fundamental building blocks.
Registration Link: 

ASCPT Members-Only Webinar Presented by the Pharmacometrics & Pharmacokinetics (PMK) and Regulatory Science (RS) Communities
Title: Clinical Pharmacology Considerations for Antibody Drug Conjugates
Date and Time: Friday, January 29, 2021, 1:00 pm ET
Speaker: Krithika Arun Shetty, PhD
Moderators: Bilal AbuAsal, PhD, and Chunze Li, PhD
Description: Since 2000, ten Antibody Drug Conjugates (ADCs) have been approved by the US Food & Drug Administration all for oncology indications. Several other ADC products are in various stages of development. This presentation will provide an overview of the clinical pharmacology considerations in ADC development with a focus on the utility of PK-PD modeling and simulation in the ADC drug development process and in regulatory decision making. Summaries/case examples of population PK and E-R models that have been utilized in the regulatory review, approval and labeling of current ADCs will be discussed.
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
Photo Gallery
Recent News
  • ASCPT Members-Only Webinar Presented by the Pharmacometrics & Pharmacokinetics (PMK) and Regulatory Science (RS) Communities
    January 20, 2021
  • 2020 in the Year-View Mirror: Full Speed Ahead to 2021
    January 18, 2021
  • FDA News: Issue 2, January 2021
    January 13, 2021
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