Project organization: Johns Hopkins University

TRACE-R: An Ultrasensitive and Multiplexed Platform for Rapid Bioprocess Quality Assessment

Obtaining Extensive in- and at-Line Input and Output Analytics Combined with Machine Learning to Improve Predictive CQA

Single Particle Analyzer for High-Throughput and High-Content Characterization of Nanoparticle-Based RNA Therapy

Optimized Long-Read Sequencing & Quality Assessment for AAV Viral Vectors

Fully Automated Micro-Bioreactor

Improved Lentiviral Vector Biomanufacturing for Cell and Gene Therapy Applications

Adaptive Process Control and Advanced Sensing for Robust mAb Glycan Quality

Implementing Scale Dependencies into Computational Bioreactor Models to Facilitate Predictions of Protein Glycosylation in Different Environments