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
Doctor of Philosophy, Computer Science, Doctor of Philosophy, Computer Science at University of Oxford
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
Abitur, Abitur at Sankt-Joseph-Gymnasium Rheinbach
Terraform module for the AWS EMR Serverless application
Contributions:44 commits, 2 PRs, 42 pushes in 17 days
awsemr-serverlessterraform-module
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