Hi. I'm Constantin Schneider.
I am a PhD student in the Oxford Protein Informatics Group (OPIG). In my research, I am trying to improve how we develop antibody therapeutics using deep learning.
I am a PhD student in the Oxford Protein Informatics Group (OPIG). In my research, I am trying to improve how we develop antibody therapeutics using deep learning.
Monoclonal antibodies have taken a lead role in the drug landscape in recent years, in large part due to their potential in immuno-oncology, with global sales in monoclonal antibody therapeutics steadily increasing. Current early-stage antibody drug development relies heavily on time- and cost-intensive experimental screens.
To adress this problem, I aim to develop machine learning methods, with a particular focus on deep learning approaches, for the in-silico predictions of antibody properties from sequence or structure, in order to enable rapid explorations of the antibody space for drug development purposes.
