Skip to main content
search

Sessions: ​

Suzhou​
Thursday, September 3, 1pm – 5pm, Adocklab​

Beijing​
Tuesday, September 8, 1pm – 5pm, Yizhuang Biomedical Park​

Summary

Join this interactive workshop to explore how Model-Informed Drug Development (MIDD) approaches can accelerate decision-making across the drug development lifecycle — from early discovery to market access.​

​Through expert-led sessions and real-world case studies, participants will learn how modeling and simulation approaches, including QSP, PBPK, and Pharmacometrics, can support data-driven decision-making, optimize development strategies, and generate quantitative insights throughout the drug development process.

Benefits of the event

  • Understand the role of MIDD in accelerating drug development and improving decision-making​
  • Explore real-world applications of QSP, PBPK, and Pharmacometrics across different therapeutic modalities​
  • Learn how modeling approaches support complex modalities, special populations, DDIs, and dose optimization​
  • Gain insights into quantitative strategies for regulatory submissions and market access in global markets​
  • Discover software solutions that enable scalable modeling and simulation workflows

Register now


Who should attend

This workshop is designed for professionals involved in drug development, including:​

  • Clinical Pharmacologists and Pharmacometrics scientists​
  • QSP and PBPK modelers​
  • Translational Medicine and DMPK researchers​
  • Discovery and development scientists​
  • R&D strategy and project leaders seeking to leverage MIDD approaches for faster, smarter drug development

Location

Agenda

13:00
Reception opens
13:30
Opening & MIDD Overview
13:40
QSP Case Study – QSP for Complex Modalities
14:20
Leveraging PBPK for Small Molecule Therapeutics: Case Studies in Special Populations and DDI Prediction
14:50
Tea Break
15:10
Pharmacometrics Case Study
15:40
Navigating US & EU Market Access: How MIDD Accelerates Approval and Optimizes Market Entry
16:10
From Data to Decisions: Integrating QSP-PBPK-Pharmacometrics Software in Drug Development
16:40
Closing

Speakers:

Caroline Mello

Portfolio Account Manager, Certara

Caroline is a Portfolio Account Manager at Certara specializing in modeling and simulation, including QSP, PBPK, and Pharmacometrics. She joined Certara via the acquisition of Applied BioMath, which focused on QSP for complex biologics. With a background in biochemistry and medicine, she is passionate about accelerating better therapeutics to patients through modeling and simulation.

Jia Ning, PhD

Senior PBPK Consultant

Jia Ning, PhD joined Certara’s Simcyp group in 2019. She is primarily responsible for establishing PBPK models for drugs, predicting drug-drug interactions (DDI), and predicting pharmacokinetics (PK) in special populations.

She conducted research at Wageningen University in the Netherlands from 2015 to 2019. She excels in using PBPK models to predict hepatotoxicity of drugs and comparing differences between species and ethnic groups.

Yu-Wei(Wayne) Lin, PhD

Director, Drug Development Solutions, Certara

Dr. Lin is Senior Director of Pharmacometrics and APAC Quantitative Sciences Solutions Team Lead, with extensive experience applying model-informed drug development to support dose optimization, regulatory strategy, and clinical decision-making across oncology, biologics, ADCs, infectious diseases, and other complex therapeutic areas.

Ruijuan Zhu

Software Solution Consultant, Certara

Ruijuan graduated from East China Normal University and is a visiting scholar at the University of Houston, USA. She is an expert in bioinformatics, with rich working experience in disease detection and drug development. Currently, she is responsible for the consulting service for drug development-related software at Certara and possesses profound knowledge and experience in utilizing Pinnacle 21 Enterprise (P21E) to ensure data compliance with CDISC standards.