Kieran Didi
@didikieran
BioML Developer @nvidia | Learned a lot @Cambridge_CL @emblebi @TBioinf @ChemCambridge @KnowlesLabCamb @BioMed_X
ID: 1242049996851208193
http://kdidi.netlify.app 23-03-2020 11:26:19
35 Tweet
495 Followers
1,1K Following
Read more about our recent work on benchmarking generative models for structure-based drug design in Charlie Harris's thread!
Conditioning diffusion-based generative models for motif scaffolding? Come check out our talk at 11.05 in Room 242 at NeurIPS AI4D3 Workshop, or visit our poster in the break. Kieran Didi Francisco Vargas Vincent Dutordoir Emile Mathieu Julia Komorowska
Come by Room 242 at NeurIPS AI4D3 Workshop to chat about conditioning generative models and protein design! #NeurIPS2023
Next up - Contributed Talk PoseCheck: Generative Models for 3D Structure-based Drug Design Produce Unrealistic Poses Charlie Harris · Kieran Didi · Arian Jamasb · Chaitanya K. Joshi · Simon Mathis · Pietro Lio' · Tom Blundell mlsb.io/papers_2023/Po…
Interested in ML and Proteins? Come by our poster at the #AI4Science workshop to hear about the course we created for newcomers in the field! Course website: structural-bioinformatics.netlify.app Fun work with Charlie Harris Pietro Lio' and Rainer Beck
Check out our new paper Nature Chemistry where we use microfluidics to identify a mini enzyme from a de novo designed library giving a plausible scenario for emergence of enzymatic function at #OriginOfLife by #DirectedEvolution! nature.com/articles/s4155…
📢 New today! Popowicz Lab, Till Siebenmorgen, Filipe Menezes and colleagues introduce MISATO, a database for structure-based drug discovery. Helmholtz AI, Sattler Lab, Helmholtz Munich | @HelmholtzMunich nature.com/articles/s4358…
Really excited to work with the EvolutionaryScale team, Alex Rives Tom Sercu Salvatore Candido and so many more to accelerate the very frontier of generative biology. Also congrats to all our awesome partners for their work with the ES team! blogs.nvidia.com/blog/evolution…
Just a bit of boasting: Rishabh's thesis leading to this work won 🏆 Outstanding Undergraduate Research award + Best Poster award at NUS's Computer Science department! Congratulations Rishabh Anand 🧬 👊 And we'll be presenting Oral + Spotlight at two ICML workshops in Vienna!!
I feel just very happy and fortunate to have been awarded the Qualcomm Innovation Fellowship to support our ongoing work on deep learning for RNA structure modeling and design! Thank you Pietro Pietro Lio', Cambridge Computer Science and Clare Hall for the PhD journey so far!
Our very own Kieran Didi NVIDIA NVIDIA Healthcare discusses the ups and downs of equivariance in life science and materials!