Ruey-ching (Richard) Hwang, PhD
Ruey-ching (Richard) Hwang, PhD
Ruey-ching (Richard) Hwang, PhD
Senior Director,
Pharmaceutical Sciences
Pfizer Global R&D
Richard (Ruey-ching) Hwang is senior director of clinical supply manufacturing at Pfizer and has been with the company since 2003. He previously held positions at Pharmacia, Mallinckrodt, and G.D. Searle.
Hwang has authored and/or coauthored nearly 20 papers, given nearly 40 presentations and training courses, and presented more than 20 posters at poster sessions. He is a member of the American Association of Pharmaceutical Scientists (AAPS) and is a member of Pharmaceutical Technology’s Editorial Advisory Board.
He holds an MBA from the Keller Graduate School of Management at DeVry University and a PhD in Pharmaceutics from the College of Pharmacy at the University of Iowa. He received his BS in Pharmacy from the School of Pharmacy, College of Medicine, National Taiwan University.
Transformations in Drug Development for Cell and Gene Therapies
March 28th 2025As a recognized leader in immunophenotyping for clinical trials, Kevin Lang from PPD discusses how spectral flow cytometry is transforming drug development, particularly in cell and gene therapies like CAR-T. He also dives into his award-winning research, including his 2024 WRIB Poster Award-winning work, and his insights from presenting at AAPS PharmSci360.
Advancing Clinical Trials with Spectral Flow Cytometry: A Conversation with Kevin Lang
March 28th 2025As a recognized leader in immunophenotyping for clinical trials, Kevin Lang from PPD discusses how spectral flow cytometry is transforming drug development, particularly in cell and gene therapies like CAR-T. He also dives into his award-winning research, including his 2024 WRIB Poster Award-winning work, and his insights from presenting at AAPS PharmSci360.
Understanding the Variability in Bioburden Test Results in Biomanufacturing
May 7th 2025This article explores the impact of test volume, microbial distribution, and dilution errors on bioburden testing variability. It presents statistical approaches to estimate percentage error and discusses strategies to optimize microbial enumeration techniques in biopharmaceutical quality control.
