Tobias Hegelund Olsen
I specialise in applied research, focusing on developing computational tools for the discovery and design of therapeutic proteins, such as antibodies, T-cell receptors (TCRs), and other novel modalities. For this, I make heavy use of new deep learning techniques, but also other data science approaches. The core objective of my work is to integrate computational design pipelines with laboratory workflows, creating a single, highly efficient system for rational design of therapeutics.
I did my PhD in the Oxford Protein Informatics Group (OPIG), University of Oxford, under supervision of Prof. Charlotte Deane, MDE. I have extensive experience with developing new models for immunogenicity, many different developability issues, paratope prediction, structure prediction and affinity prediction. I also have experience collating, processing and working with both structural data and billions of amino acid sequences for both antibodies and TCRs. Additionally, I have worked on predicting useful bioactivities for peptides.
