Topic: computational design

Pursue independent robotics research across soft and biohybrid robots, locomotion, manipulation, perception, human–robot interaction and computational design. The fellowship includes opportunities to develop learning methods on real hardware and mentor students.

Connect therapeutic-antibody discovery with computational design. The scientist develops and validates rational antibody designs, structures experimental data to improve models, and collaborates with wet-lab and machine-learning teams on humanisation, affinity, specificity and developability.

David Baker presents recent advances in designing proteins for functions that natural evolution has not been required to solve. The approach begins with a desired structure or activity and uses deep learning to propose amino acid sequences expected to realise it. The resulting designs are translated into synthetic genes, produced as proteins and tested experimentally. The lecture connects computational design with laboratory characterisation, explaining how the combination can create new molecular functions relevant to medicine, technology and sustainability. Its focus is the construction and