Kieran Didi

Kieran Didi is a research scientist in the Fundamental Generative AI Research (GenAIR) Group at NVIDIA Research. He obtained his MPhil from Cambridge University in 2023, and his B.Sc. from Heidelberg University in 2021. He is interested in developing new algorithms for generative as well as discriminative machine learning and applying these to important problems in the sciences, especially chemistry and biology.
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Posts by Kieran Didi

Simulation / Modeling / Design Oct 21, 2026

Design Proteins with RFD4-Proteina Using Reward-Guided Inference-Time Search

Protein design is a search problem. Choose amino acids for an eight-residue protein sequence and more than 25 billion combinations are possible. Choose amino... 12 MIN READ
Agentic AI / Generative AI Mar 25, 2026

Designing Protein Binders Using the Generative Model Proteina-Complexa

Developing new protein-based therapies and catalysts involves the challenging task of designing protein binders, or proteins that bind to a target protein or... 10 MIN READ