Eva
Smorodina
Computational Biologist, AI for Protein Design, Investment Fellow at Yogutide AS
Nominated in the categories:
AI & Machine Learning Leader of the Year
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Eva Smorodina Bio (LinkedIn)
Eva Smorodina is a computational immunologist working on AI for antibody and protein design. She earned her PhD at the University of Oslo with the thesis "Structural rules of antibody function", including a benchmark of AlphaFold3, Boltz-2 and Chai-1 that showed where AI confidence scores fail for antibody binding, work covered by Science and Nature Biotechnology. She has 28+ publications and 1,000+ citations, with work in Nature Computational Science, Science Advances and Chemical Reviews, and her mAbs review on machine learning for antibody design was the journal's most downloaded paper of 2022. She has collaborated with the labs of David Baker, Sergey Ovchinnikov and Shuguang Zhang, consulted for Chai Discovery, and is an Investment Fellow at Amino Collective. She serves as an area chair and reviewer for NeurIPS, ICLR and ICML. An EWOR Fellow, she co-founded Nucleate Norway and Yogutide AS, and shares AI and protein science with almost 38,000 LinkedIn followers.