- Machine Learning for the Sciences
- Protein Design and Engineering
- Reproducible ML
- Translational Biotechnology and Entrepreneurship
- Writing & Reading (especially Fantasy!)
Kieran Didi is a master's student in Computational Biology at Cambridge University and currently a ML research intern at the EMBL-EBI, working on making machine learning applications to biology (especially proteins) more robust and reproducible.
He is also working as a ML and bioinformatics consultant for PTNG Consulting and as an AI Venture Fellow for Hummingbird Ventures.
Before starting his masters degree, Kieran worked as a Software Engineering Intern at CSIRO Sydney building cloud-native bioinformatic pipelines. In his undergrad at Cambridge and Heidelberg he worked on new methods for protein engineering and analysis, both experimental and computational.