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!!


OPIG website
Edinburgh Physics
Melbourne Physics

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!!!

Etive Kayaking
Rodiles Dogs
Taj Mahal
Nong Khiaw
New Zealand Kayak
Sella Kayaking