  Kieran Didi  

 



  ![](/sites/default/files/person/Kieran_Didi.jpg)

  

   Research Area(s)

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

 

  

 Main Field of Interest

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

  

 

 

 



 ### Publications

 

### 2026 

[Proteina-Complexa: Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute](/publication/2026-01_proteina-complexa-scaling-atomistic-protein-binder-design-generative)

[Kieran Didi](/person/kieran-didi), Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, [Tomas Geffner](/person/tomas-geffner), Christian Dallago, Jian Tang, Michael M. Bronstein, Martin Steinegger, Emine Kucukbenli, [Arash Vahdat](/person/arash-vahdat), [Karsten Kreis](/person/karsten-kreis)



[International Conference on Learning Representations (ICLR) 2026 (Oral)](https://arxiv.org/abs/2603.27950)









[La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching](/publication/2026-01_la-proteina-atomistic-protein-generation-partially-latent-flow-matching)

[Tomas Geffner](/person/tomas-geffner), [Kieran Didi](/person/kieran-didi), Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, Christian Dallago, Emine Kucukbenli, [Karsten Kreis](/person/karsten-kreis), [Arash Vahdat](/person/arash-vahdat)



[International Conference on Learning Representations (ICLR) 2026](https://arxiv.org/abs/2507.09466)









### 2025 

[Proteina: Scaling Flow-based Protein Structure Generative Models](/publication/2025-01_proteina-scaling-flow-based-protein-structure-generative-models)

[Tomas Geffner](/person/tomas-geffner), [Kieran Didi](/person/kieran-didi), Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kucukbenli, [Arash Vahdat](/person/arash-vahdat), [Karsten Kreis](/person/karsten-kreis)



[International Conference on Learning Representations (ICLR) 2025 (Oral)](https://arxiv.org/abs/2503.00710)