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Research Interests

I am a currently Roche Postdoctoral Fellow investigating deep learning methods for therapeutic antibody design. Hopefully I will be able to give more details soon!!

I am broadly interested on how to best use novel deep learning methods on available antibody data to aid in the design of novel therapeutics. I did my PhD at the Oxford Protein Informatics Group (OPIG) under Prof. Charlotte Deane. During this time I mostly focused on predicting the structure of antibodies using equivariant deep learning. In my first year I developed ABlooper, a fast method for predicting the structure of CDR loops in antibodies using equivariant graph neural networks. During my second year I focused on developing ImmuneBuilder, a set of tools capable of predicting the structure of antibodies, nanobodies and TCRs with an accuracy comparable to AlphaFold2. These are all freely available to use via the groups webserver. I was also involved in the development of KA-Search, a method for rapidly searching large antibody datasets; and SPACE2, a method for antibody epitope profiling using structural models. I spent the final year of my PhD building PLAbDAb, an evolving reference set of functionally diverse, literature-annotated antibody sequences and structures. You can try it out here!!

Education

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Other interests

I grew up in a tiny village in the north of Spain with three ugly brothers and two beautiful dogs. I like all types of kayaking, visiting new places, discovering new books and playing board games. Here are some photos!!!