Visiting Researcher at Institute for Protein Design, University of Washington
Oxford, England, United Kingdom
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Summary
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Kieran Didi is a computational biologist and machine learning researcher with six years’ experience applying generative models and protein design to drug discovery. Currently splitting time between NVIDIA’s GenAIR team, Mila, and a visiting researcher role in the Baker lab at the Institute for Protein Design, he builds ML and GNN models for antibody and protein–ligand engineering. His background spans industry and academia—from cloud-native DNA analysis and FAIR-aligned BioML evaluation at EMBL-EBI to applied peptide and antibody design during his Cambridge thesis. He combines practical software engineering (Spark, AWS, Terraform) with deep domain expertise in biochemistry and ML, and has published tooling such as an EMR Serverless Terraform module. An active communicator and blogger, he also led outreach for Nucleate UK, bridging students, inventors and investors. Notably, he’s pursuing a DPhil in Computer Science at Oxford while developing generative approaches that translate directly into experimental protein function.
6 years of coding experience
2 years of employment as a software developer
German Abitur (Baccalaureat), German Abitur (Baccalaureat) at Sankt-Joseph-Gymnasium Rheinbach
Master of Philosophy - MPhil Computational Biology (Applied Maths), Master of Philosophy - MPhil Computational Biology (Applied Maths) at University of Cambridge
Master of Science - MS Biochemistry focus Computer Science, Master of Science - MS Biochemistry focus Computer Science at Heidelberg University
Contributions:273 pushes, 1 branch in 2 years 5 months
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Kieran Didi - Visiting Researcher at Institute for Protein Design, University of Washington