Daniel A. M. Pais

This study develops a serum-free process for generating producer cell lines for scalable and efficient rAAV production, achieving productivity and quality comparable to serum-based methods.

This paper develops machine learning models to predict the developability of Anticalin proteins using sequence-based descriptors, achieving low prediction errors and validated through cross-validation.